AI-driven digital medicine platform to better treat Singapore Cancer patients

An AI-driven digital medicine platform, called Quadratic Phenotypic Optimisation Platform (QPOP), developed by researchers from the Cancer Science Institute of Singapore (CSI Singapore) at NUS is helping doctors make better clinical decisions when treating cancer patients.

“QPOP customises a drug combination for every patient. Using artificial intelligence, the tool ranks potential patient response to more than 500,000 drug combinations to identify the most effective drug combinations for a patient in less than one week,” said Associate Professor Edward Chow, who is the leader of the team that developed QPOP and Principal Investigator at CSI Singapore.

Platform improves decision-making for cancer treatment

“With just a small amount of blood or tumour sample from patients, QPOP derives potential drug combination effects by mapping the response that a smaller predetermined set of drug combinations had on the specific patient’s cancer cells. This enables doctors to make more informed decisions on possible treatment outcomes for patients,” added Professor Chow

QPOP has already proved to be successful in current and past cancer patient trials. As predicted by QPOP a combination of medication has shown to be more successful than standard medicines prescribed or treatments.

In 2018, QPOP was also used to achieve positive treatment outcomes for a patient who was suffering from hepatosplenic T-cell lymphoma, a type of blood cancer.

Assoc Prof Chow said, “These early successes in lymphoma have taught us a lot about how to use QPOP to improve patient outcomes. In addition to providing strong evidence that therapy custom-tailored to the patient is possible, this work has provided the foundation to move forward with the larger clinical trials needed to make QPOP more clinically available.”

QPOP testing is currently only offered in a clinical research study, conducted through the lymphoma teams at NCIS and National Cancer Centre Singapore (NCCS), enabled by a national collaborative grant on lymphoma.

Phase 2 clinical trial planned in future with funding

The research team at CSI Singapore, NCIS and NCCS hope to raise funds to conduct a phase 2 clinical trial where approximately 60 patients with relapsed lymphoma will be randomised into two groups – QPOP-guided choices and physicians’ preference.

Since the overall outcomes for refractory lymphoma on standard treatment are poor, the trial will help clinicians understand if using QPOP-defined treatment will help improve the survival and quality of life for these patients.

Singapore, Indonesia Team Up on Green-Tech, Digitalisation

Singapore and Indonesia reaffirmed their strong and long-standing economic ties; and to explore opportunities in the development of Indonesia’s new capital city, Nusantara, both nations welcomed the Letters of Intent submitted by Singapore-based businesses from a variety of sectors, including construction, telecommunication and finance. This collaboration in renewable energy and the digital economy was expanded.

Singapore’s Senior Minister and Coordinating Minister for National Security Teo Chee Hean and Indonesia’s Coordinating Minister for Maritime Affairs and Investments Luhut Binsar Pandjaitan signed a Memorandum of Understanding (MOU) on Renewable Energy Cooperation.

Both countries will facilitate investments in the development of renewable energy manufacturing industries, such as solar photovoltaics (PV) and battery energy storage systems (BESS) in Indonesia, as well as cross-border electricity trading projects between Indonesia and Singapore, under the terms of the MOU.

Recognising the synergies shared by Singapore’s and Indonesia’s tech ecosystems, Singapore’s Minister for Trade and Industry Gan Kim Yong and Indonesia’s Coordinating Minister for Economic Affairs Airlangga Hartarto also signed the MOU on the Singapore-Indonesia Tech:X Programme.

The MOU will establish the Tech:X Programme, which enables young tech professionals from Singapore and Indonesia to work in each other’s countries, strengthens ties between the two nations’ tech ecosystems, and enables young tech professionals to pursue expanding opportunities in the digital economy.

“Through the Tech:X Program, we hope that young tech talent from both countries will be able to learn from one another, gain exposure, and expand the capabilities of both countries’ tech workforces,” Minister Gan says.

Ministers Gan and Airlangga also witnessed the signing of nine partnership documents between Singapore and Indonesia companies on 15 March 2023, in conjunction with the Leaders’ Retreat. In addition to health tech and ed-tech, the partnerships are in the digital economy.

The annual G2G platform, as well as the Singapore-Indonesia Six Bilateral Economic Working Groups (6WG), facilitate close economic collaboration between Singapore and Indonesia.

The 6WG platform addresses economic collaboration in the following areas: Batam, Bintan, Karimun, and other Special Economic Zones: Investments, Manpower, Agribusiness, Transportation, and Tourism.

Singapore and Indonesia have close commercial and investment ties. With bilateral trade totalling S$76.4 billion in 2022, Indonesia is Singapore’s sixth-largest trading partner. Since 2014, Singapore has been Indonesia’s top source of Foreign Direct Investment (FDI), with Singapore’s investments in Indonesia totalling US$17.5 billion by 2022.

OpenGov Asia earlier reported that Prime Minister Lee Hsien Loong and Indonesian President Joko Widodo recently met at the Singapore-Indonesia Leaders’ Retreat. This was the sixth Leaders’ Retreat for Prime Minister Lee and President Joko Widodo and the first to be held in Singapore since the COVID-19 pandemic.

During President Joko Widodo’s two terms in office, the relationship between the two countries had significantly improved, according to both leaders. This laid the groundwork for them to collaborate in new ways that are profound, multifaceted, forward-looking, and beneficial to both countries.

The ratification of all three agreements under the Expanded Framework was celebrated by the Leaders. These included the Agreement on the Realignment of the Boundary between the Jakarta Flight Information Region (FIR) and the Singapore FIR, the Extradition Treaty, and the Defense Cooperation Agreement.

The Leaders anticipated the next step of obtaining International Civil Aviation Organisation approval for the new arrangements under the FIR Agreement so that both countries could implement all three agreements at a mutually agreed upon date. The resolution of these enduring issues demonstrates the maturity and resilience of bilateral relations.

Goa, India Unveils AI-Based Traffic Management System

An artificial intelligence (AI)-powered traffic management system has been launched in Goa at Merces junction. The system will assist state authorities with security, signal management, and issuing fines and tickets (challan). The technology automatically detects violations and dispatches an e-challan to the violator’s address, as per a government report.

According to the state’s Chief Minister Pramod Sawant, this is the first signal in Goa that incorporates AI technology. He said that the system will benefit traffic police by enabling them to monitor traffic and enhance security more efficiently.

There will be 16 smart signals aimed at managing traffic in Goa. The technology aims to bring down major accidents in the city. The system can “keep track of the movement of anti-social elements,” the report said. The Chief Minister stated that AI might also be used to make any arrests in the future.

The system has been developed and implemented by a private AI company and deployed at the Merces junction. Goa will expand the scope of implementation on a PPP basis by collaborating with private investment. The signals have been installed at no cost to the state government.

The government does not want people to break rules or take the law into their own hands. The Transport Minister, Mauvin Godingo, noted that although the implementation of the system has begun, the process of issue challenge will be completed by 15 April.

The AI system will reduce human errors and corruption. There will be real-time photographs if someone violates the traffic rules. An official claimed that within the next 15 years, the government will install AI at more locations to monitor roads under the PPP model.

In 2021, the Karnataka State Road Transport Corporation (KSRTC) implemented AI-based technologies to limit road accidents and improve passenger safety in buses. The corporation floated a tender for the implementation of an AI-powered Collision Warning System (CWS) and Driver Drowsiness System (DDS) for 1,044 buses.

In April 2022, under the second phase of the Ministry of Electronics and Information Technology (MeitY)’s Intelligent Transportation System Endeavor for Indian Cities initiative, an indigenous onboard driver assistance and warning system (ODAWS), a bus signal priority system, and a Common Smart IoT Connectiv (CoSMiC) software were launched.

A few months later, the Bengaluru traffic police rolled out an Intelligent Traffic Management System (ITMS). Similar to the recently-launched system in Goa, AI-enabled cameras detect traffic violations. The ITMS issues fines through text messages on offenders’ phones.

AI and machine learning (ML) technology are used in the ITMS to identify traffic violations automatically, as OpenGov Asia reported. The ITMS has been installed at 30 traffic junctions across the city. The cameras can detect speed limit violations and red light and stop lane breaches, and offences like helmet-less travel, driving without a seatbelt, triple-riding, and the use of mobile phones while driving.

The system has an AI-enabled solution with 250 automatic number plate recognition cameras and 80 red light violation detection cameras installed at 50 junctions. These cameras, which are active round-the-clock, have saved a lot of manpower, which is redeployed for traffic management and regulation. The data collected is stored on a server owned by traffic police. In the future, the police force plans to track vehicles without number plates and stolen vehicles.

EXCLUSIVE! Chatbot Development for Public Service

OpenGov Asia has recognised GovTech for the public sector’s evolving digital use. The agency has streamlined government operations and broken new ground with its Virtual Intelligent Chat Assistant (VICA). The project is part of GovTech’s ongoing efforts to develop and deploy chatbots to fill gaps in government services and enhance the lives of citizens.

VICA is the most recent citizen assistant platform from GovTech, utilising Artificial Intelligence (AI) to create more efficient and beneficial chatbots for government agencies to manage and for end users. The ‘Ask Jamie’ Virtual Assistant will eventually be replaced by VICA.

The engine-neutral platform employs cutting-edge tech to enhance performance and precision. VICA utilises natural language processing engines, machine learning and AI to enhance virtual and phone interactions between Singapore government institutions and residents or businesses.

This platform not only learns and interprets conversations but also offers businesses the ability to design and train chatbots, features that Ask Jamie did not provide. The automated processes provided by VICA make it easier for agencies to onboard and “train” their chatbots.

This accomplishment earned GovTech the prestigious OpenGov Asia Recognition of Excellence Award, which will be presented at the 8th Annual Singapore OpenGov Leadership Forum 2023.

Chatbot advancement to improve citizen experience

In addition to providing a simple FAQ, VICA improves transactional services in numerous other ways. Streamlining transactions provides greater convenience and access to government services and information, as well as quicker and more direct responses to user inquiries.

Taxi drivers and hawker stall owners, for instance, can use the IRAS chatbot to request assistance with tax filing. The Municipal Services Office’s OneService Chatbot, Kaki, which allows residents to easily report municipal issues via WhatsApp and Telegram, is also powered by VICA.

VICA-powered chatbots provide the public with timely updates, such as the Gov.sg chatbot, which provides COVID-19 updates and disseminates important government announcements in English, Chinese, Malay and Tamil.

Using NLP technology has allowed VICA-powered chatbots to better understand and interpret human language, particularly in the context of Singaporean English, thereby improving overall user experience. It is possible to create more structured conversational flows by defining intents, entities and context management – the building blocks that provide directions to chatbots and allow them to meet the needs of users.

VICA provides detailed analytics and insights into the performance of the chatbot as well as user conversations. With this information, the team can identify areas for improvement to enhance performance and accuracy.

Technology is constantly evolving, and the team is continuously on the lookout for and learning about new AI trends. Hence, VICA has been experimenting with a Generative AI programme that can understand written prompts and respond with helpful assistance in real-time since mid-2022.

VICA’s development involves the gradual integration of cutting-edge technology that meets the requirements of the entire government. These technological upgrades will include a unified chat frontend to ensure consistent branding across all government ministries and agencies – Singpass Integration, Live Chat Escalation, and support for various chat platforms like WhatsApp and Telegram.

As part of the closed beta programme with internal testers, the VICA team has been utilising these technologies to improve the quality and efficacy of the chatbots with citizens.

Developers also want to reduce the time and effort that their agency partners have to invest in training and maintaining their chatbots. While the team has always been receptive to new technologies, they take a measured approach, through progressive internal testing phases with the selected partner agencies before launching to the public.

The strategy is to determine how technological advancements can benefit not only the agency partners but also citizen users.

VICA intends to surpass FAQ-style chatbots with near-human conversation capabilities in the long run. It intends to combine services and transactional capabilities so that chatbots can assist users with their inquiries and complete transactions.

Given the potential risks and shortcomings associated with the development of intelligent development of platforms, it is vital to have an ethics framework in place. This will allow developers to plan for and be aware of the pitfalls and limitations of AI, which include:

Accuracy: Models can give false responses that sound convincing
Bias: Inherent biases may exist in the training dataset, which can be difficult to pre-empt due to the lack of information. This could then manifest in the model’s responses;
Harmful content: To create a safe and healthy environment for users’ interaction with chat apps, chat moderation is important to monitor and regulate user input messages against inappropriate and offensive content;
Data governance: When interacting with chatbots, users may inadvertently volunteer personal and confidential data through the chatbot’s prompts.

It is essential to encourage interactions with them and provide feedback to ensure that chatbots are performing as intended and to improve their overall performance.

Despite the functionality and enormous potential of generative AI, VICA has placed a high priority on governing its use to ensure that such technology is employed in an ethical manner benefitting both end users and society.

To mitigate the risk of unintended prejudices and ensure adherence to data governance rules, it is crucial to adopt an intentional strategy for the collection and transformation of raw data into useful and insightful outputs. Such a strategy can help ensure that the data is handled fairly and responsibly and that any potential risks are addressed pre-emptively or proactively. Moreover, this approach ensures that the resulting outputs are accurate, reliable and trustworthy.

About the team

The organisation recognises the importance of aligning team members towards a shared vision and objective, regardless of their diverse backgrounds. With a diverse team, each member can bring their unique perspectives and expertise to the table. Working collaboratively, the team can leverage these diverse perspectives to generate innovative problem-solving strategies.

The VICA team fosters an atmosphere of open communication and encourages feedback, creating a cooperative environment where team members feel heard and valued. This establishes a safe place where everyone feels comfortable sharing their thoughts and ideas.

They frequently organise team-building activities outside of work to foster camaraderie, build stronger relationships and create a more cohesive team dynamic. They believe this approach can lead to more innovative solutions and better decision-making.

Defining clear objectives and goals is crucial for the success of the VICA team. Every team member understands that they are working towards a common objective, providing a sense of purpose and direction.

Clear missions and defined tasks allow the team to stay on track and ensure that their efforts are moving the project forward in the right manner. This approach helps ensure that everyone is aligned and focused on achieving the same goals, which ultimately contributes to the success of the project.

The VICA team has implemented a robust project management framework that outlines the roles and responsibilities of team members at each project stage. They adhere to budget planning procedures to manage costs effectively. This framework helps ensure that everyone is clear on their responsibilities and contributes effectively to the project’s success within the specified budget.

The VICA team has adopted an agile approach that emphasises adaptability, speed and continuous quality improvement. The team uses retrospectives to evaluate what works well and what doesn’t, identifying opportunities for future improvement. This enables the team to quickly make adjustments and continuously improve the project’s quality, resulting in a more successful outcome.

EKSKLUSIF! Pemerintah Singapura Pakai AI dan ML untuk Bikin Chatbot Cerdas

Proyek VICA (Virtual Intelligence Chat Assistant) adalah platform layanan chatbot yang bisa digunakan sebagai dasar pengembangan berbagai layanan chatbot di berbagai instansi pemerintahan Singapura. Platform ini ditenagai dengan Kecerdasan Buatan (Artificial Intelligence/ AI) dan pembelajaran mesin (Machine Learning/ ML) agar chatbot yang dikembangkan oleh berbagai instansi pemerintahan bisa memberikan respons yang lebih ‘manusiawi’ kepada warga dan berbagai perusahaan di Singapura.

Layanan platform chatbot VICA dikembangkan oleh GovTech, yaitu Badan Teknologi Pemerintah (Government Technology) yang mendorong transformasi digital ke berbagai instansi pemerintah di Singapura. GovTech mengembangkan VICA sebagai perbaikan dari layanan chatbot sebelumnya; Ask Jamie.

Untuk membantu VICA memberikan jawaban yang lebih natural dan akurat, GovTech memanfaatkan teknologi NLP (natural language processing) terbaru dengan platform mesin-agnostik. Menerapkan kecerdasan buatan dan pembelajaran mesin membuat VICA mampu mempelajari dan menafsirkan percakapan dan meningkatkan interaksi ketika ‘diajak bicara’ secara virtual maupun lewat telepon. Sebagai sebuah platform, VICA juga digunakan oleh berbagai instansi pemerintah lain untuk melatih chatbot yang mereka kembangkan. Fitur ini sebelumnya tak ada di platform chatbot Ask Jamie.

VICA merupakan bagian dari upaya GovTech untuk membangun dan menggunakan chatbot guna menjembatani pemerintah dengan warga dan swasta. Kepiawaian dan inovasi GovTech ini mendapat atensi dari OpenGov Asia untuk mendapatkan penghargaan OpenGov Asia Recognition of Excellence Award yang akan diberikan pada Singapore OpenGov Leadership Forum 2023 tahunan ke-8.

Chatbot pintar

Dalam wawancara dengan CEO dan Pemimpin Redaksi OpenGov Asia, tim pengembang VICA menyebut mereka telah meningkatkan berbagai fitur untuk memperbaiki cara chatbot anyar ini dalam melayani pengguna. VICA bisa memberi jawaban lebih cepat dan sesuai konteks sehingga ia tak hanya menjawab pertanyaan berdasarkan jawaban yang sering ditanyakan atau sesuai template semata. Hal ini membuat pengguna merasa lebih nyaman ketika berinteraksi dengan VICA.

Sebagai sebuah platform, VICA juga digunakan untuk mengembangkan chatbot instansi pemerintah lain. Contohnya adalah chatbot IRAS yang digunakan wiraswasta seperti supir taksi atau pemilik kios jajanan untuk meminta bantuan dalam pengajuan pajak. Kaki, chatbot layanan terpadu dari Kantor Layanan Kota bisa yang akan menampung laporan dan keluhan warga soal masalah kota lewat WhatsApp dan Telegram.

Selain itu, platform chatbot VICA juga bisa memberikan informasi terbaru secara real-time kepada warga. Contohnya, chatbot Gov.sg yang memberikan pembaruan status COVID-19 dan pengumuman pemerintah dalam bahasa Inggris, Mandarin, Melayu, dan Tamil.

Agar interaksi dengan VICA lebih ramah pengguna, tim memanfaatkan teknologi NLP untuk bisa memahami dan menginterpretasikan bahasa manusia. Namun, bahasa utama yang paling baik diinterpretasikan VICA saat ini adalah bahasa Inggris Singapura.

“Dengan memahami maksud pertanyaan, siapa yang menanyakan, dan konteks pertanyaan, ini akan jadi bahan arahan bagi chatbot untuk memberikan jawaban yang memuaskan kebutuhan pengguna, sehingga alur percakapan bisa lebih terstruktur,” jelas tim VICA.

Agar performa VICA makin bagus, tim juga melengkapi platform ini dengan analisis data. Hasil analisis itu memberikan gambaran terperinci tentang kinerja chatbot serta bagaimana kinerjanya atas percakapan pengguna. Hal ini membuat tim VICA bisa mengidentifikasi hal yang bisa diperbaiki untuk meningkatkan akurasi VICA.

Ketika memanfaatkan AI, terdapat kekhawatiran masalah etika dari kecerdasan buatan yang digunakan. Sebab, pada beberapa kasus, AI kerap memberi jawaban yang menyesatkan atau tidak sesuai etika. Tim VICA menyadari hal dan sepakat kalau model AI bisa memberikan respons yang salah namun terdengar meyakinkan.

Jawaban yang keluar dari model AI juga bisa terkontaminasi oleh bias. Bias bawaan ini mungkin terjadi imbas dari kumpulan data yang digunakan untuk melatih model AI itu. Namun hal ini bisa jadi sulit dicegah karena kekurangan informasi yang dimasukkan dalam data latihan AI tersebut. Bias dan jawaban menyesatkan tadi kemudian nampak dalam respons AI atas pertanyaan pengguna.

Untuk menjaga pembicaraan yang sehat, model AI juga perlu menyaring konten yang ditanyakan pengguna. “Moderasi obrolan diperlukan untuk memantau dan menyaring pesan yang dimasukkan pengguna untuk mengatur respons AI terhadap konten yang tidak pantas dan menyinggung.”

Etika lain yang dipertimbangkan tim pengembang VICA adalah soal tata kelola data. Saat berinteraksi dengan chatbot, pengguna mungkin secara tidak sengaja memberikan data pribadi dan rahasia secara sukarela akibat perintah chatbot.

“Terlepas dari fungsi dan potensi AI generatif yang sangat besar, kami memastikan teknologi ini digunakan dengan cara yang etis dan menguntungkan pengguna dan masyarakat,” tegas tim VICA.

Untuk mengurangi berbagai risiko disinformasi, misinformasi, bias, dan masalah etis lain, tim memastikan efisiensi dan kegunaan tiap informasi yang dikumpulkan dan ditransformasi sebagai bahan data mentah pelatihan model AI yang mereka kembangkan. Hal ini juga dilakukan agar mereka mematuhi aturan tata kelola data yang berlaku. Selain itu, mereka pun senantiasa memeriksa umpan balik pengguna agar chatbot yang dikembangkan berfungsi semestinya.

Ketika ditanya soal pengembangan VICA ke depan, sejak pertengahan 2022, tim pengembang telah mulai bereksperimen dengan program AI Generatif. Program ini bisa memahami petunjuk tertulis dan merespons dengan bantuan yang bermanfaat secara real-time.

Dalam jangka Panjang, VICA akan terus disempurnakan dengan teknologi terkini yang paling sesuai dengan kebutuhan Whole-Of-Government. Mereka akan mengembangkan antarmuka obrolan terpadu sehingga branding pada chatbot pemerintah lebih seragam di semua kementerian dan lembaga. Selain itu, mereka juga berencana melakukan integrasi VICA dengan Singpass, memperbanyak fitur Live Chat, serta integrasi dengan platform chat seperti Whatsapp dan Telegram.

Selain itu, tim VICA juga telah menjajaki teknologi kemampuan percakapan tingkat lanjut seperti yang digunakan oleh ChatGPT. Mereka tengah menelisik teknologi ini dalam program beta tertutup dan tengah melakukan pengujian internal untuk meningkatkan kualitas dan kenyamanan pemakaian chatbot. Langkah selanjutnya adalah menerapkan cara yang dapat mempermudah para mitra GovTech ketika mengadopsi platform VICA ketika mereka ingin membuat chatbot sendiri. Dengan VICA, mereka bisa mempersingkat waktu dan mengurangi kerumitan dalam melatih serta memelihara chatbot mereka.

“Kemajuan teknologi apa pun harus bisa memberikan pelayanan yang lebih baik bagi mitra instansi dan warga, itu sudah menjadi DNA kami,” tegas tim VICA

Cita-cita jangka panjang lain adalah membuat chatbot VICA bisa digunakan sebagai media transaksi. Jadi, chatbot ini tak sekedar bisa menjawab pertanyaan saja, tapi juga bisa terintegrasi dengan operasional layanan pemerintah. “Kami juga selalu terbuka untuk teknologi baru dan siap melakukan kalibrasi melalui fase pengujian internal, sebelum meluncurkan layanan itu kepada warga.”

Membangun tim inovatif

Tim VICA lantas membeberkan sejumlah cara yang mereka lakukan untuk memastikan inovasi berkelanjutan dan keberhasilan program.

“Dengan menetapkan tujuan dan sasaran yang jelas, setiap anggota tim akan terbantu untuk memahami bahwa mereka memiliki tujuan bersama yang jelas, sehingga setiap orang memahami tugas dan tanggung jawab masing-masing.”

Di tahap awal, tim membangun kerangka kerja manajemen proyek. Kerangka ini membantu peran dan tanggung jawab anggota tim untuk pembagian beban kerja yang sehat di setiap tahap proyek. Kerangka ini juga berguna untuk penentuan perencanaan anggaran agar biaya bisa dikelola secara efektif. Tim juga menciptakan suasana yang terbuka terhadap berbagai umpan balik, sehingga setiap anggota tim bisa dengan bebas dan merasa aman dan didengar ketika mengajukan pendapat.

Untuk mengukur dan mengevaluasi keefektifan kerja, tim VICA mengadopsi metodologi Agile. Metode ini dianggap lebih fleksibel, cepat, dan bisa membantu tim untuk meningkatkan kualitas kerja mereka. Sementara dalam proses pengembangan produk, mereka mendapat manfaat dari metode Scrum dan Kanban. Sebagai bahan evaluasi, tim juga mengandalkan retrospektif untuk mempelajari kembali apa yang berhasil dan apa yang tidak. Bahan ini lantas digunakan untuk perbaikan produk di masa mendatang.

Ketika berinteraksi dengan tim yang berbeda latar belakang, tim VICA memulai proyek dengan membangun rasa saling percaya dan menyelaraskan visi dan tujuan bersama. Sehingga, tiap anggota bisa memiliki cara masing-masing untuk berkontribusi dengan caranya yang unik. Dengan menyatukan semua pendapat berbeda ini, mereka dapat menciptakan dan menemukan solusi inovatif untuk berbagai masalah.

Sementara untuk menjaga kebersamaan dan kolaborasi yang efektif dalam tim, mereka memperbanyak waktu bersama lewat sesi curah pendapat (brainstorming), proyek bersama, hingga kegiatan team bonding. Mereka pun mengembangkan budaya untuk menghargai kontribusi dan menghormati pendapat setiap anggota tim. Inisiatif ini menjamin tiap pendapat didengar serta memberikan lingkungan yang aman bagi tiap anggota untuk berbagi pandangan yang berbeda.

Singapore: New App for Uroflowmetry Analysis

Associate Professor Ng Lay Guat of Singapore General Hospital (SGH) has created a mobile application capable of detecting abnormal urine flow. When implemented, the app may reduce clinic wait times by allowing patients to perform certain tests at home prior to their visit. Currently, in testing, the SGH urology team led by Associate Professor Ng is likely to launch the app within the year.

Patients being treated for urological conditions routinely submit to uroflowmetry, a standard test in which they urinate into an electronic machine. The collected data assists physicians in determining the treatment’s efficacy and whether any modifications are necessary. For the test to be accurate, the patient’s bladder must be full; otherwise, the result may be inconclusive.

The clinic can be a stressful environment for the patient, according to Dr Edwin Jonathan Aslim, Consultant, Department of Urology, SGH. Having other patients behind them in line for the same test can induce anxiety, so they perform the test quickly even if the bladder is not full.

He added that inaccurate test results require patients to retake the examination, which increases their waiting time by one to two hours, as the bladder must fill up again. Hence, patients might even have to return on a different day.

With the app, patients can retake the test at home without anxiety as often as they desire, providing doctors with a more accurate picture of their condition. Using the app will also enable nurses to devote more attention to patients who require it. With the standard method, nurses must transport the patient to the machine, empty the urine container, and replace it when the test is complete.

The team is collaborating with the Singapore University of Technology and Design to create an app that will measure the speed and volume of urination. It can also determine patterns, such as whether the urine flow is continuous or intermittent.

An SGH analysis led by Assoc Prof Ng from 2017 to 2019 gathered data that was later employed to acquire a deep-learning algorithm that processes app data. In addition to measuring urine output, the app has other useful features, such as a voiding diary.

When released, the app will provide physicians with vital information, such as the fact that a sluggish flow in male patients with an enlarged prostate may indicate an obstruction. The app can measure urine volume in women with overactive bladder for use in keeping a voiding diary. Patients now measure and record the volume of their bowel movements manually.

Assoc Prof Ng anticipates that the app will eventually be utilised in the primary care setting, where patients with stable conditions can be monitored. The app will provide the polyclinic doctor or general practitioner with actual parameters, as opposed to relying on the patient’s subjective description.

In addition to these features, the app is a useful screening tool for the general public. If patients detect anything abnormal on their apps, they can consult a physician, who can then make an accurate diagnosis after conducting additional tests.

According to emerging digital health trends, more patients than ever are using their smartphones to track their general health, get health advice, and have video calls with doctors for prescriptions. Patients value the undeniable convenience that healthcare apps offer.

Patients can benefit from lower costs, immediate access to individualised care, and an increased sense of control over their health thanks to advances in mobile healthcare technology.

Indian Council of Medical Research Releases Ethical Guidelines for AI

The Indian Council of Medical Research (ICMR) has released Ethical Guidelines for Artificial Intelligence in Healthcare and Biomedical Research. These guidelines apply to AI-based tools for all biomedical and health research and applications involving human participants and/or their biological data.

The recognised applications of AI in healthcare include diagnosis and screening, therapeutics, preventive treatments, clinical decision-making, public health surveillance, complex data analysis, predicting disease outcomes, and health management systems.

To ensure the responsible development and use of AI in healthcare, it is crucial to establish an ethical policy framework that guides decision-making. The ICMR guiding document stated that as AI technologies evolve and are increasingly applied in the healthcare sector, there must be processes that discuss accountability in case of errors.

The document outlined ten ethical principles based on the well-being of patients that must be considered when applying AI technology. These principles include accountability and liability for decisions made, respecting patient autonomy, ensuring data privacy, promoting collaboration, minimising risk, and ensuring safety, striving for accessibility and equity, optimising data quality, preventing discrimination and promoting fairness, and ensuring validity and trustworthiness of AI applications.

The principle of autonomy emphasises the importance of obtaining informed consent from patients, who should also be fully informed of the potential physical, psychological, and social risks associated with AI applications. On the other hand, the principle of safety and risk minimisation aims to prevent any unintended or intentional misuse of AI technology.

The body is responsible for assessing the scientific rigor and ethical aspects of all health research. It will ensure that the proposal is scientifically sound and weigh all potential risks and benefits for the population where the research is being carried out. Informed consent and governance of AI tools in the health sector are other critical areas highlighted in the guidelines. The latter is still in the preliminary stages, even in developed countries.

India has made significant strides in increasing the use of AI and other technologies in healthcare. Emerging technologies are being used to track citizens’ health statuses as well as to monitor health outcomes and identify areas for improvement. Last August, the National Health Authority (NHA) issued hardware guidelines for state and union territory hospitals, clinics, and wellness centres. The aim was to promote digitsation in healthcare institutions. The guidelines briefly describe the required infrastructure for the efficient implementation of the Ayushman Bharat Digital Mission (ABDM), with a particular focus on quality patient care and the adoption of digital initiatives.

As OpenGov Asia reported, the guidelines provide a basic framework for the planning, assessment, and procurement of the IT hardware (including IT specifications of various hardware equipment) based on the size of the healthcare facility. It enables healthcare providers to operate applications compliant with the ABDM. The document includes guidelines for desktops and laptops; printers; QR code readers; QR code printers; fingerprint scanners; uninterrupted power supply (UPS); and web cameras.

ABDM is a national-level digital health ecosystem that intends to support universal health coverage (UHC) in an accessible, inclusive, and affordable manner, through the provision of big data and infrastructure services, and by leveraging open, interoperable, standards-based digital systems. At the same time, the government is keen on ensuring the security, confidentiality, and privacy of health-related personal information.

EXCLUSIVE! Selecting Startups to Fund with Kei Furukawa

Venture Capital (VC) has played a significant role in driving innovation and economic growth by providing essential financing for startups and early-stage enterprises. With rising interest rates and complicated loan approval processes, many entrepreneurs are turning to VC financing opportunities to bridge the gap between funding sources for innovation and traditional, lower-cost forms of finance available to existing businesses.

To attract private equity funds and entice entrepreneurs with high-return ideas, the VC industry must offer a satisfactory return on capital, provide appealing returns for its members, and demonstrate promising upside potential. However, consistently outperforming investments in inherently risky business operations remains a significant challenge

Despite not being long-term ventures, the goal of VC investments is to provide financial support to a company’s balance sheet and infrastructure until it achieves a certain size and level of credibility that makes it attractive for acquisition by a corporation or provides the opportunity for liquidity in the institutional public equity markets.

Due to the saturation of the startup market and ongoing inflation concerns, many investors are opting for a more conservative approach. Venture capitalists today are adopting a more cautious, long-term strategy, departing from the previously prevalent aggressive, short-term investment approach.

Venture Capitalists Measure When Funding a Startup

Kei Furukawa, a Partner in Investment & Business Development at the UTokyo Innovation Platform Co (UTokyoIPC), presents the Innovative Platform as the entity in charge of enhancing the University of Tokyo (UTokyo)’s innovation ecosystem. It is tasked with ensuring returns on its investments as a funding corporation as well as disseminating academic research outcomes from the world-leading university in Japan to society as a whole.

“UTokyo IPC aims to accelerate innovation on a global scale that leveraged the University of Tokyo through three key activities: supporting entrepreneurs, facilitating corporate innovation, and investing in startups,” Kei reveals.

The company’s primary activity is Venture Capital (VC), which consists of meaningful investments and the exiting of those portfolios. A concurrent objective is to apply UTokyo’s research, intellectual assets and other resources to businesses.

While the ultimate goal is to make investments, Kei shared that they also conduct extensive research and academic work, that can be commercialised.

The company has invested in around 60 companies or portfolios that are primarily focused on various fields including biotech (drug discovery, medical devices, agriculture), robotics, aerospace, IT and AI (mainly enterprise solutions).

“It is pertinent that our company was established as a result of a political decision, indicating that the government is currently experiencing a period of uncertainty,” Kei explains. “Ministry of Economy, Trade and Industry (METI), and the Ministry of Education, Culture, Sports, Science and Technology (MEXT)made a joint decision to increase funding for startups emerging from universities, to explore ways to transform research into viable business ventures. This decision ultimately led to the creation of our company.”

Typically, national universities in Japan are not permitted to invest in companies, but an exception was made in this case. As a result, the VC firm is deeply invested in the growth of startups and takes a deep interest in their success.

Kei explained that the national budget was used to establish our funds. It is noteworthy that the funds comprise public and private sources, with a government disbursement allowing it to undertake investments with significantly greater risk.

He acknowledges that the company employs a matrix to evaluate the success of its investments. However, due to their focus on early-stage deep tech investments, it can be extremely challenging to conduct such measurements, particularly at an early stage. Nonetheless, his team closely monitors the progress of each investment and ensures that the milestones established for both business and technology are met.

The company operates an incubation and accelerator programme called “1st Round” (https://www.1stround.jp/) that serves as a bridge between academia and business. It is a programme co-hosted by 13 Top national and private universities from Japan. To participate in the initiative, start-ups are not required to be incorporated but must do so if chosen. If already incorporated, they must be under 3 years, and must not be funded by a VC at application timing.

He notes that they have numerous corporate sponsors, consisting of major Japanese corporations of a wide spectrum of industry fields. They strongly encourage partnerships between the startups and the sponsoring companies to conduct proof of concept (POC) projects together. This safe and close-knit community has resulted in many successful ventures between companies and startups.

The venture capitalist arm has a follow-on investment strategy aimed at providing support to the companies they invest in, particularly during challenging times. They take a hands-on approach by having members sit or observe boards meeting of portfolio companies to offer guidance and mentorship for business development, HR support (has own recruitment platform “Deep tech Dive” (https://www.utokyo-ipc.co.jp/dive/), and public relations. Also since their fund terms are 15 years, relatively longer than other VC funds, which helps deep tech startups to firmly bring technology to the market.

The VC strongly believes in the value of persistence and is committed to not giving up on its investments. They are determined to work tirelessly until the very end to revitalise the company, a trait they consider critical of a successful investor.

As a university subsidiary, they do not limit themselves to any particular investment areas and remain open to various types of startups. While there may be some sectors that are more attractive to non-tech venture capital, they generally favour startups that may be complex to comprehend but possess the potential to bring about transformative changes in the world.

They take a long-term investment approach and have transitioned from short-term rapid investment to supporting social impact and sustainability, particularly in healthcare startups. However, they also must balance this with the need for financial returns.

When making investments, financial returns are undoubtedly important, but they are not the sole factor that should be taken into account. The overall impact of the investment, including its social, environmental and ethical implications, should also be carefully considered.

Startups have several options for obtaining capital, such as crowdfunding, venture loans, and revenue-based finance. Each strategy has its own advantages and disadvantages, and therefore, entrepreneurs must have a deep understanding of these options.

Having multiple funding options can be advantageous, provided that entrepreneurs and shareholders are well-informed about the pros and cons of each. A thorough understanding of the funding options can help them make an informed decision that aligns with their business goals and objectives.

Urban Ideas and Solutions Through LKYGBPC

The Lee Kuan Yew Global Business Plan Competition (LKYGBPC), which began in 2001, is a biennial global university start-up competition hosted in Singapore. Organised by Singapore Management University’s Institute of Innovation and Entrepreneurship, focuses on urban ideas and solutions developed by student founders and early-stage start-ups.

According to Kei, as an entrepreneur, it is essential to have the appropriate capacity and seek guidance from knowledgeable individuals, particularly in the early stages of the business. As a university subsidiary, UTokyoIPC is well-equipped to assist entrepreneurs and help prevent them from making fatal mistakes out of ignorance.

The success of promoting entrepreneurship in culture depends on the ecosystem and environment that encourages and supports it. Singapore has a strong entrepreneurial environment, with universities such as SMU and NUS emphasising entrepreneurship. In contrast, Japan has a larger economy but tends to be more conservative.

The University of Tokyo has been actively fostering entrepreneurship by offering courses to students, which has led to the creation of numerous companies. The critical factor behind this success is the creation of an environment that supports entrepreneurship and motivates people to pursue it. Marketing and promoting the benefits of entrepreneurship are also vital to its success.

“The programme is expanding and involving many other universities beyond Singapore. This makes LKYGBPC an excellent platform for startups or the venture capital industry, as it is close to many countries in the region.” Kei believes.

Since joining the company in 2019, Kei has been actively involved in supporting startups, professors, and students through various initiatives. His passion is on deep tech startups or those with the potential to bring about positive changes in the world. He has invested in a diverse range of fields, including IT, robotics, AI and agritech.

Many successful entrepreneurs come from different backgrounds, such as business, engineering, finance, marketing and more. While having a technical background can be advantageous in some industries, it is not always necessary for achieving business success, Kei opines.

“Ultimately, having a strong business sense is more crucial than any specific technical background. What truly matters is possessing a good grasp of business and the necessary skills to succeed in it. This entails competencies such as strategic thinking, financial management, leadership, communication, and problem-solving,” Kei concludes.

March 25, 2023

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