AI-driven cloud-based outbreak management system to navigate the pandemic

The new strain of the COVID-19 virus was first discovered in South East Asia when a 45-person cluster got infected in Malaysia from a traveller who returned from India and breached his 14-day quarantine. The Philippines detected the strain among random COVID-19 samples in the largest city of its capital region. Since then, the world has been struggling to cope with the mutation that seems to be far more infectious.

The mutation called D614G makes a small but effective change in the virus’s spike protein, which the virus uses to enter the human cell. “The mutation is said to have a higher possibility of transmission or infectiousness, but we still don’t have enough solid evidence to say that that will happen,” Philippines’ Health Undersecretary Maria Rosario Vergeire said in a virtual briefing.

Graph: depicting the prevalence of the spike mutation in new cases in one UK lab, among RT-PCR Tests

The strain has been found in many other countries and has become the predominant variant in Europe and the US but the World Health Organization says there is no evidence the strain leads to more severe disease.

There’s no evidence from the epidemiology that the mutation is considerably more infectious than other strains, said Benjamin Cowling, head of epidemiology and biostatistics at the University of Hong Kong. “It’s more commonly identified now than it was in the past, which suggests that it might have some kind of competitive advantage over other strains of Covid-19.”

Managing the pandemic at a national and global level is extremely difficult at it is being done in an environment cynicism of public health institutions. Data breaches of hospitals, health facilities and similar databases have been a fairly regular occurrence.

National responses to outbreaks vary greatly from country to country and there have been conflicting messages between leaders, health agencies and experts. These have fostered increased concern and confusion in the wider population. As Southeast Asian countries take various steps to prevent a resurgence while reopening limited travel, they struggle with people breaching quarantine rules after returning from overseas as well as false-negative test results at borders.

The delays in rolling out available vaccines and the discovery of new strains have forced a number to countries to go into lockdowns again and enforce stricter social distancing norms and restrictions.

In an increasingly tech-dependent and tech-driven world, it is pertinent that the healthcare sector explores new technologies to provide information, options and advice. Citizens need safe and secure solutions that can help them track, monitor and manage risk from the virus and also help them go out for work and fulfil essential tasks of daily life.

Novel technologies and platforms, of course, have been launched to help inform citizens on testing, care and movement. The most well-known of these would be contact tracing and symptom-reporting apps, some of which are increasingly being deployed by local and national public health agencies.

Liberty and Passage is one such solution for this persisting problem. Developed by Access Anywhere, the total outbreak management system combines several cutting edge technologies on one platform that can be used across various sectors including airports, cruise lines, immigration and tourism boards. It is a useful tool for all industries to restart their business.

Using AI and ML, Liberty & Passage has been designed to help provide relevant timely information and build the confidence required to restart free movement between countries and continents, giving travellers when crossing borders and authority’s confidence when processing foreign visitors at customs.

With these critical features, Liberty & Passage is an outbreak management solution for individuals, organisations, and the entire travel industry.

The platform is designed for the entire population with Liberty Open designed to manage personal risk, Liberty Corporate for organisations to ensure a safe return to work and Liberty Passage for travel and reopening of borders. Everyone gains from the vast insights the system provides to be able to go about their normal lives while keeping as safe as possible against this virulent threat.

By joining the three pillars together, ‘the whole becomes greater than the sum of the parts’ giving the general public, employees and travellers freedom to move with confidence and a more intelligent understanding of their risk exposure using cutting edge technology.

Tech innovation is helping to manage the pandemic and better equip countries when dealing with the current public health emergency and for future public health emergencies. Outbreak management systems will be the key in building confidence, mitigating risk and enhancing safety in everyday life.

For more information on how the Liberty Solution works – please visit www.libertyandpassage.com

Advancing Content Creation with Physics-Driven AI

Generative artificial intelligence (AI) is at the forefront of transforming the boundaries of digital reality, promising to take simplicity and turn it into complexity through the creation of patterns in images, sounds, and text. Researchers at the Massachusetts Institute of Technology’s Computer Science and Artificial Intelligence Laboratory (MIT CSAIL) have delved deep into this realm, introducing an innovative AI model that bridges the gap between two unrelated physical principles: diffusion and Poisson Flow. Their work has led to the development of the “Poisson Flow Generative Model ++” (PFGM++), which is poised to redefine digital content creation across various applications.

The PFGM++ model represents a leap in generative AI, offering the capabilities to generate a wide range of content, from images to audio. Its potential applications span from the creation of antibodies and RNA sequences to graph generation. At its core, PFGM++ extends the foundation of the Poisson equation, a concept from physics, to enhance its data exploration and generation capabilities. This breakthrough underscores the power of interdisciplinary collaboration between physicists and computer scientists in advancing the field of AI, as highlighted by Jesse Thaler, a physicist at MIT.

Thaler emphasises the remarkable progress achieved by AI-based generative models in recent years. These models have generated photorealistic images and coherent textual content, challenging the boundaries of artificial intelligence. Notably, some of these powerful generative models draw inspiration from well-established physics concepts such as symmetries and thermodynamics. PFGM++ builds upon a century-old notion from fundamental physics—the existence of extra dimensions in space-time – and transforms it into a versatile tool for crafting synthetic yet authentic datasets. The infusion of ‘physics intelligence’ is revolutionising the landscape of AI.

In the PFGM model, data points take on the role of minuscule electric charges within a multidimensional space, shaping an electric field that extends into an extra dimension, ultimately forming a uniform distribution.

This process is akin to rewinding a video, starting with charges and retracing their path along electric lines to recreate the original data distribution. This process enables the neural model to grasp the electric field concept and generate new data that mirrors the original.

The PFGM++ model takes this concept further by expanding it into a higher-dimensional framework. As these dimensions continue to grow, the model’s behaviour unexpectedly begins to resemble another crucial category of models known as diffusion models. This work aims to strike a balance, as PFGM and diffusion models occupy opposite ends of a spectrum: one is robust yet complex to handle, while the other is simpler but less sturdy. The PFGM++ model introduces a balanced middle ground, combining robustness with user-friendliness, revolutionising image and pattern generation and marking a significant technological advancement.

In addition to its adaptable dimensions, the research team has proposed a novel training approach that enhances the model’s understanding of the electric field, further boosting its efficiency.

To bring this concept further, the research team tackled a pair of differential equations detailing these charges’ motion within the electric field. They evaluated the model’s performance using the widely accepted Frechet Inception Distance (FID) score, which assesses the quality of generated images compared to real ones. PFGM++ excelled in demonstrating enhanced error tolerance and resilience regarding the step size within the differential equations, solidifying its position as a game-changer in the realm of AI-generated content.

In the future, the researchers are committed to refining specific aspects of the model through systematic approaches. They aim to identify the optimal value of D, customised for distinct data sets, architectures, and tasks, by closely analysing the behaviour of neural network estimation errors. Moreover, they plan to leverage PFGM++ in contemporary large-scale endeavours, particularly in text-to-image and text-to-video generation.

MIT’s PFGM++ stands at the forefront of a digital content revolution, bridging the gap between AI and reality. By integrating physics principles and advanced AI techniques, this innovative model promises to reshape the way we create digital content, opening up new horizons for creativity and application across various industries.

Thailand’s Cyber Resilience Initiatives

Mr Prasert Chandraruangthong, Minister of Digital Economy and Society, has highlighted the alarming issue of cybercrimes that have recently afflicted society. He acknowledged the severity of the situation, where people have been left devastated due to the scorching impact of online scams perpetrated by call centre gangs.

The rise of online thieves and the activities of call centre gangs have created an unprecedented challenge for law enforcement and security agencies. Over six months, from March 2022 to August 2023, 320,000 cases of cybercrimes have been reported. This figure averages about 600 instances daily, depicting the relentless assault on individuals and organisations.

The financial toll inflicted by these cyber criminals amounts to 43,700 million baht. This translates to an average daily loss of 80 million baht, underscoring the economic consequences of these activities.

It is abundantly clear that conventional approaches to preventing and suppressing cybercrimes are proving insufficient in the face of this growing menace. The traditional methods employed by law enforcement agencies need help to cope with these digital threats. Therefore, it has become imperative to reassess and revamp the existing strategies.

There is a compelling need for a comprehensive policy overhaul in response to this pressing issue. Mr Prasert Chandraruangthong recognises that tackling this multifaceted problem demands a more holistic and innovative approach.

Establish the Anti Online Scam Operation Centre (AOC) as a Stop Service to monitor, prevent, and suppress online theft. They are utilising technology, including an Intelligent Assistant (IA) and a data-driven platform, to collect, analyse, and predict suspicious activities, such as financial transactions and phone usage, with AI technology and data scientists. Collaborate with banks and telecom providers to enhance efficiency and provide quick assistance to citizens.
Create a war room under AOC to swiftly address issues like frozen financial accounts, aiming to resolve them within 1 hour of victim notification. Collaborate with relevant agencies, set KPIs, and establish timelines for bank operations.
Form specialised teams (Special Taskforce) to promptly address financial fraud, online gambling, and other related issues.
Enhance cooperation with major online platforms, urging them to take social responsibility by preventing fraudulent advertisements. Collaborate with mobile companies to identify and block suspicious numbers.
Implement proactive public relations efforts to reach a wider audience and cooperate closely with law enforcement agencies, both domestically and internationally, to apprehend cybercriminal leaders and recover victims’ assets. Advocate for legal amendments to keep pace with evolving technology and online threats.

It involves enhancing cybersecurity measures and raising public awareness and cooperation to create a united front against cyber criminals. Through these concerted efforts, the government aims to stem the tide of cybercrimes and restore a sense of security and trust in the digital realm.

“I believe that swift action is key to problem-solving. Notifications should be resolved within one hour, and the use of Intelligent Assistant technology aids operators with accurate information. The focus is on eradicating online criminal syndicates, particularly in activities like horse racing accounts and horse sims, while leveraging data and comprehensive analysis. This integrated and strategic approach will significantly decrease online crime issues, with the goal of nearly eliminating financial fraud,” concluded Mr Prasert Chandraruangthong.

India Tests Cell Broadcast Alert System

The Department of Telecommunications (DOT), in partnership with the National Disaster Management Authority (NDMA), will conduct extensive testing of the Cell Broadcast Alert System. This effort is aimed at strengthening emergency communication during disasters and enhancing safety measures to protect the public.

The Cell Broadcast Alert System is an advanced technology that enables authorities to disseminate vital and time-critical disaster management messages to all mobile devices in specific geographic regions. This includes both residents and visitors, ensuring that crucial emergency information reaches as many individuals as possible promptly.

Government agencies and emergency services employ Cell Broadcasts to inform the public about possible threats and deliver vital updates during critical situations. This technology is commonly used for issuing emergency alerts like severe weather warnings (tsunamis, flash floods, earthquakes), public safety notifications, evacuation instructions, and other critical information.

The Cell Broadcast Alert System will undergo rigorous testing with multiple telecom service providers. These tests will be conducted periodically in various regions across the country to evaluate the emergency alert broadcasting capabilities of different mobile operators and cell broadcast systems for efficiency and effectiveness. As part of this endeavour, tests are being conducted in different states across India, with Punjab being the next state on the testing schedule for 29 September.

In a press release, DOT said that it is responsible for formulating developmental policies to accelerate the growth of the telecommunications sector in India. “Our mission is to ensure access to affordable and effective telecommunications services for all citizens while promoting innovation and safeguarding national security interests.”

The proliferation of digitalisation in both service and manufacturing domains has ushered in a global transformation. In recent years, the demand for digital connectivity has grown, and this vital role was highlighted during the pandemic, when there was a surge in demand across user segments, regardless of their geographical locations.

The Telecom Regulatory Authority of India (TRAI) has been overseeing the quality of telecom services nationwide through comprehensive studies and by issuing directives to stakeholders to improve facilities. Although there have been notable enhancements in the coverage of telecom services outdoors, there are still gaps in meeting the expected quality of service within buildings, whether they are residential or commercial areas.

Ensuring the quality of telecommunication services within buildings is a vital aspect of safeguarding consumer interests. TRAI has already implemented several policy initiatives, including the Recommendation issued on 20 February 2023, regarding the “Rating of Buildings or Areas for Digital Connectivity.” These recommendations establish an introduction for building ratings, aiming to deliver a satisfactory digital connectivity experience to consumers through a collaborative and self-sustainable approach.

To establish a regulatory framework, TRAI has indicated in its observations that it intends to develop the necessary regulations for the Rating of Buildings. It recently issued a consultation paper titled “Regulation on Rating Framework for Digital Connectivity in Buildings or Areas.” It deliberates on the regulatory measures needed to implement a rating framework.

The paper underscores the necessity of a rating system that not only caters to the current consumer expectations but is also adaptable for future expansion and upgrades. It should allow for evolving technologies and shifts in user demands. The paper also explores the benefits of a rating framework for end-users, service providers, and the broader ecosystem.

The consultation paper provides an overview of the ‘Rating Framework for Digital Connectivity’ based on international practices and existing rating frameworks such as GRIHA or Credit Rating in India. The consultation paper along with draft regulations have been uploaded to TRAI’s website, seeking inputs from the stakeholders and telecom consumers. Written comments will be accepted by 10 November and counter-comments by 24 November.

IIT-Madras: Responsible AI for Trustworthy 6G Networks

The Centre for Responsible Artificial Intelligence (CeRAI) at the Indian Institute of Technology, Madras (IIT-Madras) has announced its collaboration with a prominent private telecommunications company for joint research endeavours in the realm of Responsible AI.

The private company entered into an agreement to become a Platinum Consortium Member of CeRAI for five years. Under this partnership, it will provide support and actively participate in all research initiatives carried out by CeRAI. AI research is of high importance to the telecommunications company, given that AI algorithms will play a crucial role in the autonomous operation of 6G networks.

IIT-Madras partners for joint research in the area of Responsible AI
Image credit: Indian Institue of Technology, Madras

6G and future networks aim to seamlessly integrate the physical and digital realms, facilitating immersive AR/VR experiences. With AI-managed sensors bridging the gap between humans and machines, responsible AI practices become imperative to uphold trust, fairness, and privacy compliance. The focus of the project revolves around pioneering advanced techniques that augment trust and transparency in AI algorithms for the greater benefit of the public. The partnership aligns with the government’s vision for the Bharat 6G programme.

An official noted that future networks will facilitate easier access to high-performing AI systems. It is imperative to embed responsible AI principles right from the inception of these systems. Many critical applications will be deployed on mobile phones and other devices through these networks. New research is required to ensure that AI models and their predictions are explainable and to provide performance guarantees that align with the applications they serve.

IIT-Madras held a Symposium on Responsible AI for Networks of the Future to commemorate the partnership. It brought together officials from the private company and IIT-Madras to engage in discussions about advancements and innovations for responsible AI. According to an official from IIT-Madras, research in AI will produce the tools necessary for running future businesses. IIT-Madras is committed to conducting impactful translational research in partnership with industry stakeholders. During the symposium some of the current research activities being carried out at CeRAI were showcased, including:

Project on Large-Language Models in Healthcare:

It identifies biases shown by these models, develops scoring methods to assess their practicality in real-world applications, and mitigates biases within LLMs. Custom-scoring methods are being crafted based on the Risk Management Framework (RMF) outlined by the National Institute of Standards and Technology (NIST), a U.S. federal agency dedicated to advancing measurement science and standards.

Project on Participatory AI:

It addresses the black-box nature of AI across different stages, including the pre-development, design, development and training, deployment, post-deployment, and audit stages. Drawing inspiration from fields like urban planning and forest rights, the project studies governance mechanisms that empower stakeholders to offer valuable insights to improve the accuracy and reliability of AI and raise concerns about potential adverse effects.

Project on Interpretability of Attention-Based Models:

It delves into the intricacies of generative AI models based on attention mechanisms, which have garnered substantial attention because of their outstanding performance in tasks like machine translation, image summarisation, text generation, and healthcare. However, the models are complex and difficult for users to interpret. The project explores the conditions under which these models are accurate but fail to be interpretable, the development of algorithms to enhance their interpretability, and understanding which patterns in the data these models tend to learn.

The Philippines Accelerates Telehealth and Universal Healthcare

Digitalisation has resulted in a paradigm shift in the delivery and accessibility of healthcare services. Telehealth programmes, made possible by digital technologies, are linking patients with healthcare practitioners across geographic boundaries. This has been especially helpful in countries such as the Philippines, where distant and underserved areas frequently struggle to get excellent healthcare services.

During the 9^th Balik Scientists Programme Annual Convention, Dr Jaime Montoya, Executive Director of the Department of Science and Technology Philippine Council for Health Research and Development (DOST-PCHRD) stated that the biggest impact of digitalisation in the healthcare sector is accelerating universal healthcare where it is a dream that all Filipinos will have access and covered of healthcare.

He added that in terms of universal healthcare, digitalisation is making it simpler to reach out to neglected people and guarantee they receive the necessary healthcare services. Hence, digital tools are bridging the gap between healthcare providers and patients, whether through mobile health apps, remote monitoring devices, or teleconsultations.

He believes that through technology, everything could be easier. He gave the RxBox as an example of connecting Filipinos in remote areas to access health services that could only be seen in the cities. He highlights the prioritisation of the health information system integration in the Philippines with the help of the national ID system to ensure speedier services.

Besides, the integration of digital health records and telemedicine platforms has simplified patient care by allowing healthcare practitioners to quickly access vital information. This not only improves care quality but also leads to better patient outcomes, “This would be accomplished more quickly with the help of our Balik Scientists.”

RxBox is a biomedical device that was made by Filipino researchers from UP Manila and UP Diliman with help from DOST-PCHRD. It can measure a patient’s temperature, blood pressure, heart rate, oxygen saturation, uterine movements, and electrocardiogram readings.

With its easy-to-use layout and high-resolution screen, patients can easily keep an eye on their health and share this information with their healthcare provider. This lets doctors act quickly and cuts down on the need for face-to-face visits.

The RxBox Detection and Communication (RxDETEC) mobile app is built into every device. It can keep and send logs from medical sensors that are connected and information about patients, like their age, gender, and the type of case they are having.

Along with training and orienting staff from COVID-19-selected healthcare facilities and regional or local DoST offices, the RxBox 1000 Project also wants to keep an eye on how health workers use the devices for things like referrals and other telehealth activities.

In addition, DOST Secretary Renato Solidum, Jr stated that digital transformation will affect all industries. The telehealth instrument RxBox has already been applied in the healthcare industry and is being improved.

The Secretary added that six out of ten Filipinos die without ever seeing a doctor. Hence, he has advised that all medical practitioners create telehealth tools such as sensors over the Internet so that patients, particularly those in remote places, can quickly reach medical practitioners.

While issues such as internet connectivity and digital literacy persist, the Philippines is making great progress in utilising digitalisation to promote telemedicine and move towards universal healthcare coverage. This shift is laying the path for a more equal and healthy future for all Filipinos.

With this, Secretary Renato emphasised the importance of interdisciplinary collaboration among Filipino scientists and called for support for research and development. He also stresses the role of the Balik Scientist Programme in nurturing scientific inquiry and driving progress in the country, concluding with a call to continue advancing and thriving on the global stage through science and innovation.

Australia’s Cutting-Edge Nuclear Medicine Facility

ANSTO has received a substantial allocation of Federal Government funding, marking a significant development in the effort to ensure the continued production of crucial nuclear medicines in Australia. At the Lucas Heights campus of ANSTO, the plans for a state-of-the-art Nuclear Medicine Facility were unveiled by the Minister for Industry and Science. This new facility will replace the ageing Nuclear Medicine Processing and Distribution Facility, which was initially established in 1959 for research purposes.

On a weekly basis, ANSTO plays a pivotal role in producing nuclear medicines that facilitate between 10,000 and 12,000 medical procedures across Australian hospitals and clinics. Over the years, ANSTO has expanded its production capabilities to encompass various nuclear medicines, making it the primary supplier of approximately 75%-80% of nuclear medicines used in Australia. Among the critical substances they produce is molybdenum-99 (Mo-99), dispatched into ANSTO’s Gentech® Generators. Mo-99 naturally decays into technetium-99 (Tc-99m), the most widely used radioisotope in nuclear medicine worldwide.

The Lucas Heights campus of ANSTO houses a nuclear medicine precinct comprising three key facilities: the OPAL multipurpose research reactor, the Molybdenum-99 Manufacturing Facility, and the ageing Nuclear Medicine Processing and Distribution Facility.

Alongside the Minister, the Acting CEO for ANSTO expressed his appreciation for the enhanced funding aimed at securing Australia’s sovereign capabilities in domestic nuclear medicine manufacturing. He emphasised that the new Nuclear Medicine Facility represents a critical advancement in the technological aspect of nuclear medicine production.

This purpose-built facility will establish a more sophisticated nuclear medicine precinct that streamlines the manufacturing and distribution chain. It is designed to provide ANSTO with the flexibility required to adapt to evolving manufacturing technologies and cater to the changing demands of the radiopharmaceutical market. This flexibility is especially crucial as the rates of diagnosis for illnesses such as cancer continue to rise. Moreover, the facility will empower ANSTO to meet the surging demand for nuclear medicines from hospitals and medical clinics while also capitalizing on ANSTO’s radiopharmaceutical research and development and collaborations within the medical industry.

The current facility, where the final production stage of most of ANSTO’s nuclear medicines occurs before dispatch, is an ageing structure originally constructed as a research laboratory in the late 1950s. Despite extensive renovations and modifications to transform it into a nuclear medicine manufacturing facility, it is nearing the end of its operational lifespan. The funding received will not only support the construction of the new Nuclear Medicine Facility but also facilitate the ongoing maintenance of the existing facility until the new one becomes operational, which is expected in the mid-2030s.

The Federal Government’s allocation of funds to ANSTO represents a significant technological leap forward in ensuring the continued production of life-saving nuclear medicines in Australia. The establishment of the new Nuclear Medicine Facility at the Lucas Heights campus is a critical step toward modernizing the production process, enhancing flexibility, and meeting the growing demand for nuclear medicines while bolstering research and development efforts in the field of radiopharmaceuticals. This investment not only secures Australia’s sovereign capabilities but also reinforces its position in the global nuclear medicine industry.

The Federal Government’s funding allocation for ANSTO’s new Nuclear Medicine Facility at Lucas Heights aligns with Australia’s tech goals by promoting innovation in healthcare technology, fostering collaboration within the medical industry, enhancing sovereign capabilities, and supporting research and development in radiopharmaceuticals.

It also ensures technological resilience, strengthens global competitiveness, and underscores the importance of long-term planning for critical technology infrastructure. This investment signifies the government’s commitment to leveraging technology to advance healthcare and bolster Australia’s position in the global technology landscape while addressing national security concerns related to nuclear medicine production.

OpenGov Asia reported that the Government of Western Australia is taking steps to promote the growth of small to medium-sized local businesses by offering grants totalling over AU$3 million. These grants are intended to enhance their capabilities and competitiveness, enabling them to pursue contracts from both the government and private sector.

Known as the Local Capability Fund (LCF), this initiative serves as a crucial resource for recipients looking to expand their capacity and improve their competitiveness in supplying goods, services, and works to the government, major projects, and other significant markets.

New Zealand: AI Advancing Cancer Diagnosis

Te Whare Wānanga o Waitaha | University of Canterbury (UC) Professor Ramakrishnan Mukundan and PhD candidate, Andrew Davidson, from the Department of Computer Science and Software Engineering are collaborating with Dr Gavin Harris, an Anatomical Pathologist at Canterbury Health Laboratories. Together, they employ high-resolution digital images of human tissue samples to enhance cancer diagnosis.

“This technology allows us to enhance image processing methods, enabling the automatic identification of features that pathologists find relevant. With images containing 60,000 pixels, we have an extraordinary level of tissue detail and a vast amount of data,” explained Professor Mukundan.

Currently, in New Zealand (Aotearoa), pathologists primarily examine tissue samples under a microscope. They then utilise their expertise to analyse the cancer and produce a diagnostic and treatment report. However, this approach is inherently subjective.

Emerging image processing algorithms represent a leap forward in analysing highly detailed, high-resolution images, offering the capability to scrutinise minute structures, including down to the level of individual cell nuclei. This breakthrough technology plays a pivotal role in identifying and quantifying diagnostically significant characteristics, a task that is often impractical for pathologists to perform manually, according to Professor Mukundan.

The potential of computational pathology goes beyond mere automation. These advanced algorithms can assess various tissue attributes, recognising different pertinent patterns and correlations that might otherwise escape human observation.

Professor Mukundan further emphasises that with the aid of this technology, pathologists will no longer need to seek out these features within the images actively. Instead, the algorithms will autonomously identify and highlight them, providing valuable additional tools and information to facilitate the diagnostic and evaluative processes.

Dr Harris is optimistic about harnessing whole-slide images of human tissue to enhance the precision of cancer treatments for patients. “By adopting a computational approach, we can measure the characteristics present in tissue samples with a level of accuracy that surpasses current methods. This, in turn, paves the way for a more personalised approach to cancer care,” notes Dr Harris.

Currently, the research relies on digitised tissue samples sourced from online repositories to train the algorithms. Human expertise is still essential to ensure the accuracy of the algorithm outputs.

Professor Mukundan explains that the algorithm’s training process involves extracting pertinent features from training data, which is the foundation for building a comprehensive knowledge base. Subsequently, this knowledge is employed to categorise tissue sample images that have yet to be encountered.

Upon concluding the training phase, the research team can evaluate the algorithm’s performance and accuracy in collaboration with pathologists, making any necessary adjustments.

The team has secured recent funding, enabling them to access scanned whole slide images of tissue samples. This valuable resource aids in assessing the algorithms’ effectiveness. The grant supports a detailed analysis to validate the algorithm further using an entirely new test dataset.

As part of his PhD, Davidson has been involved in algorithm development, experimental analysis, and result validation. According to him, the results obtained so far suggest that the new systems under development have the potential to enhance health outcomes for cancer patients significantly. This improvement hinges on developing more precise diagnostic and classification schemes essential for formulating effective treatment strategies.

The research team’s goal is to finalise their work by the end of 2024, culminating in creating a machine learning algorithm capable of accurately identifying cancer subtypes.

October 1, 2023

5th Annual Thailand OpenGov Leadership Forum 2023, 05 OCTOBER 2023 - CLICK HERE FOR DETAILS

We are creating some awesome events for you. Kindly bear with us.

AI-driven cloud-based outbreak management system to navigate the pandemic

Advancing Content Creation with Physics-Driven AI

Thailand’s Cyber Resilience Initiatives

India Tests Cell Broadcast Alert System

IIT-Madras: Responsible AI for Trustworthy 6G Networks

The Philippines Accelerates Telehealth and Universal Healthcare

Australia’s Cutting-Edge Nuclear Medicine Facility

New Zealand: AI Advancing Cancer Diagnosis

Recommended Stories

Advancing Content Creation with Physics-Driven AI

Thailand’s Cyber Resilience Initiatives

India Tests Cell Broadcast Alert System

IIT-Madras: Responsible AI for Trustworthy 6G Networks

The Philippines Accelerates Telehealth and Universal Healthcare

Australia’s Cutting-Edge Nuclear Medicine Facility

HKSTP Partners for Innovative Data Collaboration Lab

Vietnam-US Partnership Boosts Semiconductor Industry

Swinburne University: Innovative Research to Market

Advancing Content Creation with Physics-Driven AI

Digitalisation Boosts Philippine Agriculture

CSIRO Fostering Indigenous Talent at UoW

Vietnam Surges in Global Innovation Index 2023 Rankings

MENU

PARTNER

Qlik

PARTNER

CTC

PARTNER

Planview

SUPPORTING ORGANISATION

SIRIM

PARTNER

HashiCorp

PARTNER

IBM