Every piece of data that travels over the internet — from paragraphs in an email to 3D graphics in a virtual reality environment — can be altered by the noise it encounters along the way, such as electromagnetic interference from a microwave or Bluetooth device. The data are coded so that when they arrive at their destination, a decoding algorithm can undo the negative effects of that noise and retrieve the original data.
U.S. and Ireland’s researchers have now created the first silicon chip that is able to decode any code, regardless of its structure, with maximum accuracy, using a universal decoding algorithm called Guessing Random Additive Noise Decoding (GRAND).
By eliminating the need for multiple, computationally complex decoders, GRAND enables increased efficiency that could have applications in augmented and virtual reality, gaming, 5G networks, and connected devices that rely on processing a high volume of data with minimal delay.
One way to think of these codes is as redundant hashes added to the end of the original data. The rules for the creation of that hash are stored in a specific codebook. As the encoded data travel over a network, they are affected by noise or energy that disrupts the signal, which is often generated by other electronic devices. When that coded data and the noise that affected them arrive at their destination, the decoding algorithm consults its codebook and uses the structure of the hash to guess what the stored information is.
GRAND works by guessing the noise that affected the message and uses the noise pattern to deduce the original information. GRAND generates a series of noise sequences in the order they are likely to occur, subtracts them from the received data, and checks to see if the resulting codeword is in a codebook. While the noise appears random in nature, it has a probabilistic structure that allows the algorithm to guess what it might be.
The GRAND chip uses a three-tiered structure, starting with the simplest possible solutions in the first stage and working up to longer and more complex noise patterns in the two subsequent stages. Each stage operates independently, which increases the throughput of the system and saves power.
The device is also designed to switch seamlessly between two codebooks. It contains two static random-access memory chips, one that can crack codewords, while the other loads a new codebook and then switches to decoding without any downtime.
The researchers tested the GRAND chip and found it could effectively decode any moderate redundancy code up to 128 bits in length, with only about a microsecond of latency. Médard and her collaborators had previously demonstrated the success of the algorithm, but this new work showcases the effectiveness and efficiency of GRAND in hardware for the first time.
Developing hardware for the novel decoding algorithm required the researchers to first toss aside their preconceived notions. We could not go out and reuse things that had already been done. This was like a complete whiteboard. We had to really think about every single component from scratch. It was a journey of reconsideration. When we do our next chip, there will be things with this first chip that we will realise we did out of habit or assumption that we can do better.
– Lead Researcher
Since GRAND only uses codebooks for verification, the chip not only works with legacy codes but could also be used with codes that have not even been introduced yet. In the lead-up to 5G implementation, regulators and communications companies struggled to find consensus as to which codes should be used in the new network. Regulators ultimately chose to use two types of traditional codes for 5G infrastructure in different situations. Using GRAND could eliminate the need for that rigid standardisation in the future.
Moving forward, the researchers plan to tackle the problem of soft detection with a retooled version of the GRAND chip. In soft detection, the received data are less precise. They also plan to test the ability of GRAND to crack longer, more complex codes and adjust the structure of the silicon chip to improve its energy efficiency.
The Philippines has begun issuing individual electronic land titles (e-titles) to 1,839 agrarian reform beneficiaries (ARBs) in the Eastern Visayas region. The Department of Agrarian Reform will give the ARBs their personalised e-titles (DAR).
DAR stated that 2,591 electronic titles (e-titles) totalling 3,922 hectares of the agricultural property would be given on Jan. 26 as part of the Support to Parcelisation of Lands for Individual Titling (SPLIT Project). The first batch of individual titles developed by the SPLIT Project will be distributed in the Visayas State University-Tolosa Campus auditorium.
According to DAR Secretary Conrado Estrella III, this is per President Ferdinand R. Marcos Jr.’s direction to hasten the issuance of land titles to ARBs this year and to provide support services to help them better their living conditions.
“We will issue individual e-titles to preserve and affirm our ARBs’ property rights,” he explained.
The SPLIT initiative proposes fast-tracking the subdivision of national collective certificates of land ownership award (CCLOAs) of around 1.3 million hectares of land. The World Bank supported the SPLIT initiative to partition CCLOAs and tribute individual titles to ARBs.
According to DAR Eastern Visayas Regional Director Robert Anthony Yu, the SPLIT project includes approximately 17,496 CCLOAs encompassing a total of 220,473 hectares of agricultural properties throughout the region. Yu stated that the area has verified around 67,601 hectares, while 3,922 hectares have been granted with e-titles.
The SPLIT project seeks to fully implement the Comprehensive Agrarian Reform Programme by allowing farmer-beneficiaries to have clear and defined ownership of the parcels of land they are tilling. The e-titling aim to stimulate farmers to grow their crops and make long-term progress on their ground. The award to ARBs was also established to stabilise requests, tenure ship, govern lands, and generate short-term economic opportunities for project workers who will be employed in the project.
Estrella stated in an earlier interview that farmers could not successfully use the land to make income because they needed to know the metes and bounds of the land assigned to each of them. Estrella believes that by granting farmers individual rights, more ARBs will be inspired to enhance their landholdings, resulting in higher agricultural output and household income.
The Philippines pushed land management digitalisation. The Department of Environment and Natural Resources (DENR) Land Management Bureau (LMB) has fully integrated the Land Administration Management System (LAMS) databases of 16 local and community environment and natural resource bureaus in the Philippines into their respective regional offices.
LAMS is a computer-based information system consolidating the country’s land data and records. It is geared for quick and straightforward land information processing, tracking, and retrieval. As a result, the DENR-NCR and DENR-Calabarzon Regional LAMS datasets were combined to create LMB-LAMS.
LMB also pooled and assessed 19 towns undergoing Digital Cadastral Database Cleansing through different DENR regional offices. LMB Director Emelyne Talabis adds that the agency is happy with its accomplishments this year on critical programmes, which resulted in improved delivery of land-related services to Filipinos.
The Philippines generally attempted to improve its digital competencies after falling behind. The Philippines placed last among Southeast Asian countries in the 2022 World Digital Competitiveness Ranking. Furthermore, it is the 13th largest economy in Asia, trailing only Mongolia.
The Senate has rolled out an act to push the complete e-governance implementation in the Philippines. All government agencies, offices, and instrumentalities, including local government entities, are required under the bill to disclose all necessary information in both traditional and online formats. The Department of Information and Communications Technology (DICT) will be the principal agency in enforcing the provisions of the Act.
A partner company of the Hong Kong Science and Technology Parks Corporation (HKSTP) unveiled “ARIA-diabetes risks”, a retinal imaging tool for non-invasive pre-screening of diabetes. This solution aims to tackle the problem of millions of undiagnosed diabetes patients worldwide.
The International Diabetes Federation reports that in 2021, nearly half of all adults with diabetes were unaware of their condition, amounting to 239.7 million individuals worldwide. In Hong Kong alone, at least 600,000 individuals have diabetes and more than 110 million in mainland China. This is a significant issue that has both local and global implications, as people with diabetes are at an increased risk for serious and potentially life-threatening complications such as heart disease, kidney disease, and vision loss.
The Automatic Retinal Image Analysis (ARIA) technology uses artificial intelligence and machine-learning techniques to detect various health issues. The solution provides a non-invasive pre-screening tool for diabetes that delivers results within minutes and has an accuracy rate of over 90%. It does not require a blood test and offers a faster and more accessible way for early diabetes diagnosis.
The partner company formed a joint venture called “Oneness Health” with an HKSTP incubatee to capitalise on the potential for remote healthcare offered by the ARIA-diabetes risks solution.
The joint venture combines the partner company’s retinal analysis technology with the incubatee’s network of Traditional Chinese Medicine (TCM) practitioners, as well as their software and hardware development capabilities. This creates a one-stop service platform under the name “Oneness Health” that provides high-risk patients seeking TCM treatment with added convenience and flexibility, with the goal of “disease prevention”.
The Oneness Health platform will offer features such as online appointments, mobile assessments, diagnosis, and personal health management in the first quarter of 2023.
In the near future, it will also provide prescriptions for traditional Chinese medicines that can be dispensed through auto-dispensing machines at over 100 convenient locations in 18 districts of Hong Kong or collected at various NGO centres. Additionally, door-to-door courier service will be available for single elderly individuals or needy families.
The CEO of HKSTP stated that the Park is dedicated to promoting innovation by providing a comprehensive support system for translational research, product development, and commercialization. The ARIA-diabetes risks solution from the two firms which is now being offered under the Oneness Health platform is a prime example of how innovative solutions can be developed in Hong Kong and at the Science Park.
The combination of breakthrough science, world-first technology, advanced software, and hardware to create an innovative primary healthcare delivery platform through Oneness Health, is a testament to the speed, talent, infrastructure, and innovation capability of Hong Kong’s I&T ecosystem.
In line with the HKSAR Government’s Primary Healthcare Blueprint announced in December 2022, the Oneness Health platform will contribute to the government’s goal of establishing a more community-based primary healthcare system. The platform will significantly improve healthcare convenience, expand treatment options, lower patient costs, and alleviate the burden on Hong Kong’s hospitals and clinics.
The Blueprint sets out a strategy road map towards establishing a primary healthcare system that can improve the overall health and quality of life for popular in a stable manner, under the challenges brought on by an ageing popular and increasing chronic disease prevalence.
The Ministry of Administrative Reform and Bureaucratic Reform (PANRB) join forces with a government IT firm to create a digital Public Service Mall (MPP). The initiative is a follow-up to President Joko Widodo’s directive to establish MPP Digital.
According to Minister PANRB Abdullah Azwar Anas, the IT government company is more advanced in digitalisation implementation. MPP Digital incorporates numerous services into the hand to make it easier for people to access high-quality government services.
“MPP Digital provides effective and efficient service delivery while enhancing information security for government digital services. The government IT company team will expedite the President’s vision for MPP Digital,” he explained.
MPP Digital is also expected to increase investment by allowing for faster and easier licencing, leading to job possibilities. In addition, the local administration will not need to construct a massive MPP building but will rely on digitalisation that everyone can access.
MPP Digital is expected to be ready by May 2023, following the President and Vice President’s directives. The creation of MPP Digital is also under the government’s present implementation of the Electronic Based Government System (SPBE).
At the same time, Ririek Adriansyah, the Main Director of the government IT company, declared his willingness to support the government’s initiative. He conveyed that the construction of MPP Digital was proceeding as planned because the digitalisation of services has enormous potential benefits for both the government and the general public.
Additionally, the government is working hard to progress SPBE, including introducing Digital Public Service Malls (MPP) as one of SPBE’s expressions. SPBE is also a component of President Joko Widodo’s Thematic Bureaucratic Reform, which is aimed at digitising government services.
The next Electronic-Based Government System (SPBE) aims to strengthen unity by offering a single access system for the country’s digital services, resulting in higher public service quality. Nowadays, the state’s digital public sector is still fragmented by agency, sector, and silo-based systems. As a result, citizens are frequently required to submit similar data and register several accounts to access various digital-based public sector services.
As a result, Anas will pursue a single sign-on account for users to access various government services. Users can utilise their accounts to access all public services e-services, such as population issues, business permissions, and other certifications. Digital MPP has done so following President Jokowi’s and Vice President Ma’ruf Amin’s objective to achieve bureaucratic reform with simple, powerful, and quick replies to the community.
More MPPs have been built and inaugurated by the government. In the future, all regions will have physical and digital MPPs, with all government services based on demographic numbers (Digital ID). MPP Digital, on the guidance of the President and Vice President, has become the PANRB ministry’s short-term focus.
As of December 2022, 103 MPPs (20% of the total of 514 regencies/cities in Indonesia) had been inaugurated in regencies and cities. Thus, fewer than 80%, or approximately 411 districts/cities, still need MPP. The Vice President aimed for roughly 150 new MPPs in 2023, with all towns and regencies having MPPs by the end of 2024.
The Ministry of PANRB has evaluated 10-15 MPPs (Public Service Malls) for inclusion in the future Digital MPP development process. These MPPs were chosen for their uniqueness, benefits, and good qualities. In general, the MPP Digital application development will be divided into four stages: requirements, design, testing, and upgrading.
Anas emphasised that government digitisation is a critical driver in enhancing the quality of public services, which would increase people’s well-being. Bureaucratic reform must increase investment and streamline business services, boosting the economic level of society. Improving the community’s financial level will undoubtedly influence the lowering poverty rate.
The application of artificial intelligence (AI) can transform the ability to observe, comprehend, and anticipate processes in Earth’s systems. AI and ML computational capabilities can assist researchers and scientists in collecting, understanding, and analysing enormous amounts of data with a faster, more accurate, and more knowledgeable process for decision-making agility.
The researchers and scientists then collaborate to promote Earth and environmental science by using AI and modelling approaches such as machine learning (ML). They convened a workshop to determine particular priorities for addressing computational difficulties and attempted to nurture advancements in AI and ML, algorithms, data management, and other areas.
The workshop was designed by roughly 100 specialists based on 156 white papers given by 640 writers from 112 institutions worldwide. These principles’ consequences can help develop a technology infrastructure that is efficient, accurate, strategic, and convenient while also reaching across resources.
“Effective improvements in Earth system prediction necessitate significant advances across the Model-Experiment (ModEx) environment,” said Nicki Hickmon, Associate Director for operations for DOE’s Atmospheric Radiation Measurement Office of Science at DOE’s Argonne National Laboratory.
The workshop narrowed down 17 issues relevant to the integrated water cycle and extreme weather occurrences within that cycle during the session. Experts debated nine topics connected to Earth system forecasts, including hydrology, watershed research, coastal dynamics; the atmosphere, land, oceans, and ice; and climatic variability and extremes.
Researchers analysed issues in each session that indicate the need for revolutionising AI technology and infrastructure to manage complicated tasks in environmental science. Participants investigated the potential of artificial intelligence (AI) to uncover scientific discoveries using technologies such as neural networks, knowledge-informed machine learning, AI architectures, and co-design.
“We need new AI methodologies that integrate process understanding and respect physical laws. (It is) to make estimations of Earth system behaviour scalable, trustable, and relevant under future climate regimes,” Charu Varadharajan, a research scientist at DOE’s Lawrence Berkeley National Laboratory, directs the Earth AI & Data Programme Domain, added.
Through the workshop and report, the researchers and scientists created 2-, 5-, and 10-year targets for the integrated framework development for each focal topic. They also identified priorities for Earth science, computational science, and programmatic and cultural improvements that would support the mission of AI4ESP.
Experts prepared a comprehensive list of scenarios in which AI research and development could help address some of Earth science’s most critical concerns. These challenges include handling and analysing massive volumes of data to increase the ability to detect and predict extreme events and promote the incorporation of human behaviours into theory and models.
Forrest Hoffman, group leader for the Computational Earth Sciences group at the Department of Energy’s Oak Ridge National Laboratory, suggested developing new hybrid models that integrate process-based and ML-based modules is one of the most intriguing prospects.
The modelling frameworks allow for the addition of data regarding poorly understood processes, which can increase accuracy and often result in enhanced computational performance for Earth system models, allowing for more simulations and analyses to be performed within given resource constraints. The workshop provided a cross-disciplinary and cross-mission opportunity for the scientific and application communities to collaborate toward understanding the required advancements.
Programmatic and cultural adjustments are also required to promote a more cohesive mission across diverse scientific and government agencies and a skilled workforce capable of successfully integrating technology into humanistic research and activities. The experts offered options such as AI research centres focused on environmental science, frameworks that enable shared services across multiple communities, and continuing training and support missions.
Budi Gunadi Sadikin, Minister of Health, announced the development of SATUSEHAT, an interoperable Indonesian health data system. Budi aimed to complete the digitalisation of health data by January 2024. In keeping with the spirit of an impactful bureaucracy, the Minister of Health is sure Indonesians would benefit from digitisation.
“The concept is interchangeable; (health facilities) can use the information anywhere: all hospitals, both public and private, pharmacies, clinics, health centres, and labs throughout Indonesia will use the same data format, and (the data) can be exchanged,” he said at the launch of the Digital Transformation Office (DTO) Space in Jakarta.
SATUSEHAT is a health platform that serves as a forum for various health apps from companies in the health business. As a result, all applications and health service facilities on the SATUSEHAT platform, including vertical hospitals, government hospitals, private hospitals, health centres, Posyandu, laboratories, clinics, and pharmacies, must adhere to the Ministry of Health’s criteria.
People no longer need to carry physical medical record files while moving hospitals because of this platform. All patient medical record resumes have been digitally captured on the SATUSEHAT platform, which can be viewed from anywhere and at any time using mobile phones.
“For certain users who haven’t been able to produce health applications, we can aid later. (And) We can eventually give standard and free applications for significant stakeholders such as Puskesmas (community health centres) and Posyandu (toddler integrated service post). This way, we can do data integration elegantly on the same platform,” Budi confirmed.
Furthermore, the Ministry of Health established DTO as a Ministry of Health work unit dedicated to implementing the Healthy Indonesia programme by developing effective data-driven policies and digital technology products. User-Based Technology Development, National Health Data Integration, Technology Capacity Building, and Data-Based Policy Making are the four principles of digital transformation being implemented.
Budi directed the DTO and the Data and Information Centre (Pusdatin) to take meaningful actions to expedite national health data digitisation. DTO must complete nationwide health interoperability that is transparent and accessible to all parties. The merger process started on July 6, 2022, and is expected to be finished by the end of 2023.
Another challenge is to combine clinical and genomic data to assess the health of the Indonesian population deployed with Artificial Intelligence to create more detailed and exact results. AI will subsequently support the Ministry of Health’s clinical and genomic data. The services are designed to help Indonesia advance health biotechnology.
During the inauguration ceremony, the Minister for Administrative Reform and Bureaucratic Reform (PANRB), Abdullah Azwar Anas, praised the Ministry of Health’s digital transformation in the healthcare system. He anticipated that the shift would affect at least five items. First and foremost, it increases the quality of healthcare services. Second, it improves access to healthcare services. Third, raise the added value of the health sector economy with a focus on domestic goods.
Fourth, speeding the achievement of the government’s main healthcare projects, such as lowering stunting prevalence. Fifth, strengthen health human resource expertise while guaranteeing equitable distribution across the country.
“For example, we may ensure that a health concern is treated by integrating data, then monitoring therapy until the assessment is entirely digitally driven. We can learn from the Covid-19 pandemic, in which health technology was extremely useful in combating the pandemic,” he went on to say.
Anas believes that the Ministry of Health’s SATUSEHAT will soon be merged with the National Electronic-Based Government System. He praised the tremendous efforts made by the Ministry of Health to implement digital transformation.
The Ministry of Health’s consolidation initiative can serve as a model for other Ministries/Institutions looking to increase work units’ roles in supervising the government’s digitalisation activities. Anas is optimistic that the integrated ecosystem of digital health data will be a huge step forward for the country’s health sector.
Senate President Pro Tempore Loren Legarda urged the government to prioritise cell sites in geographically isolated and disadvantageous regions (GIDA), indigenous villages, and other upland places. In addition, she advocated that the government’s digitalisation and internet connectivity initiative be implemented throughout Antique province in the future years.
In her hometown of Antique, 40% of the populace uses Globe and Smart connectivity. However, their tower locations are focused on urban regions. As a result, Legarda requested that WiFi hotspots be deployed throughout the province.
Legarda discussed her proposals with Department of Information and Communications Technology (DICT) Undersecretary Anna Mae Yu Lamentillo, Undersecretary Angelo Nuestro, and Assistant Secretary Philip Varilla at the Senate of the Philippines.
Around 18 Antique towns will undergo digital transformations to improve municipal services to be more accessible, faster, and more efficient. Legarda, the primary author of Republic Act No. 10844, the law that established the DICT, underlined the importance of ICT infrastructure, systems, and resources in ensuring universal access to excellent, cheap, dependable, and secure ICT services.
“We are doing this in Antique, and we will do it in other areas of the country. With our stronger cooperation with the DICT, we want every community, even our indigenous communities, to be digitally linked so that they are not left aside,” she added.
Meanwhile, Lamentillo said the DICT would pursue its mandate to build the digital infrastructure connecting communities, especially those in far-flung areas. The connectivity programme also provides citizens with better quality of life by delivering speedy and efficient government services to the people.
“We thank Senator Loren Legarda for her unwavering support to the DICT, from its inception and up to the present as we strive to ensure that every community in the country is digitally connected,” she declared.
Under President Ferdinand R. Marcos Jr., the Philippines has strengthened efforts to develop the country’s internet connection. He promised his administration would do all its power to offer free internet connection to rural communities. The government plans to roll out the “BroadBand ng Masa Programme” (BBMP) to all isolated islands, especially those without a mobile cellular connection.
BBMPs across the country give free internet access to students and teachers from geographically isolated and disadvantaged regions (GIDAs). As part of the programme, an additional 628 operational free WiFi sites were installed, increasing the total amount of such WiFi sites throughout the Philippines to 4,757. At least 2.1 million unique users, or around 100,000 families, can access the government’s free internet connections. Interconnectivity and government services will benefit from digital technologies.
DICT Secretary Ivan John Uy was optimistic about the programme’s ability to help develop a “direct relationship” between GIDAs and the government. Establishing the Free WiFi for All Programme is one of the government’s accomplishments in boosting connection. He committed to increasing efforts to extend internet connection to more remote places.
Indonesia is made a similar push to persuade local governments to accelerate the provision of digital infrastructure for telecommunications and internet needs in rural locations. To service the community in all villages/sub-districts in Indonesia’s most remote, outlying, and underserved (3T) sites that have yet to be served by a 4G signal network. The BTS was built with funds from the State Revenue and Expenditure Budget by the Ministry of Communication and Information.
The BTS will be a downstream facility allowing the public to benefit from upstream infrastructure such as a broadband fibre-optic cable network. Another method for providing internet connection to rural schools and health care facilities is the SATRIA-I Satellite and the Hot Backup Satellite.
Sybill, an artificial intelligence tool, has been developed to estimate the risk of lung cancer. Lung cancer is the world’s deadliest cancer, accounting for 1.7 million fatalities in 2020, killing more people than the following three deadliest cancers combined. Consequently, it is critical to have an early detection solution to provide immediate treatment.
Cancer early identification AI tools can result in a better long-term outcome, according to MIT’s Abdul Latif Jameel Clinic for Machine Learning in Health, Mass General Cancer Centre (MGCC), and Chang Gung Memorial Hospital (CGMH). When it’s advanced, the five-year survival rate for the lung cancer patient is closer to 70%, compared to 10% when it’s early.
“It’s the worst cancer because it’s so common and so difficult to treat, especially once it’s advanced,” explained Florian Fintelmann, MGCC Thoracic Interventional Radiologist and Co-author of the current study.
Today’s images of the lung computed tomography (LDCT) procedure is presently the most common way people are checked for lung cancer to detect it early enough to be surgically removed. But Sybill takes the screening a step further in comparison to LDCT. It can forecast the likelihood of a patient acquiring lung cancer within six years by analysing LDCT imaging data without the intervention of a radiologist.
Co-author Peter Mikhael, an MIT PhD student in electrical engineering and computer science and an affiliate of Jameel Clinic and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), associated the procedure with “trying to identify a needle in a haystack”. However, Sybill successfully detects early-stage cancer with satisfactory results, as shown in a new article published in the Journal of Clinical Oncology.
Fintelmann and his team labelled hundreds of CT scans with evident cancerous tumours that would be used to train Sybil before testing the model on CT scans with no discernible evidence of disease. The researchers took precautionary measures to ensure Sybil’s ability to identify cancer risk appropriately.
Sybil achieved C-indices of 0.75, 0.81, and 0.80 using a heterogeneous group of lung LDCT scans gathered from the National Lung Cancer Screening Trial (NLST), Mass General Hospital (MGH), and CGMH over six years. Models with a C-index score of more than 0.7 are regarded as good and models greater than 0.8 are considered strong, with 1.00 being the maximum attainable score. The ROC-AUCs for Sybil’s one-year prediction were considerably higher, ranging from 0.86 to 0.94.
Jeremy Wohlwend, an MIT electrical engineering and computer science PhD student and Jameel Clinic and CSAIL collaborator, was shocked by Sybil’s excellent score despite the absence of apparent disease. “We discovered that even while we [as humans] couldn’t see where the cancer was, the model could still predict which lung would eventually get cancer,” he described. “It was incredibly interesting that [Sybil] could identify which side was the more likely side.”
The 3D aspect of lung CT scans made Sybil challenging to create. Because early-stage lung cancer covers minuscule areas of the lung. It is just a fraction of the hundreds of thousands of pixels that make up each CT scan. The radiology data used to train Sybil was essentially free of any indicators of malignancy. Lung nodules are denser areas of lung tissue that, while they have the potential to be malignant, are most of the time not and can be caused by healed infections or airborne irritants.
In the United State, many patients diagnosed with lung cancer today have never smoked or are former smokers who quit more than 15 years ago – characteristics that preclude both groups from receiving lung cancer CT screening in the United States. However, cancer can affect a young, healthy, and athletic individual. As a result, prevention is vital to saving more lives.