To get better heart data from wearables, researchers train AI to separate the signal from the noise
As wearable health devices grow more popular, there’s an opportunity to track the broader adult population’s heart health. But it’s much harder for smartwatches to accurately detect the heart’s electrical signals.Source: STAT
A Master’s Degree Student’s Story: Learning to analyze complex data and hitting the gym
First-year master’s degree student Zichun Xu chose the Yale School of Public Health to pursue his studies in biostatistics because of its world-class faculty and engaging academic environment. He particularly enjoys the school’s academic freedom to take classes in related disciplines across Yale. But student life is not all lectures and studying. In his downtime, Xu can often be found playing basketball at the Payne Whitney Gym or biting into a slice of New Haven’s world-famous pizza.
Agile Analytics & Operational Intelligence for COVID-19
The global outbreak of SARS-CoV-2 (COVID-19) has been filled with uncertainty. Who is most at risk? Which symptoms are most common? What treatments are effective? The incredibly varied presentation, from asymptomatic patients to mortality further complicates assessing the true scope of infection and drives further uncertainty in how to respond to and manage the pandemic. Rapid turnaround in research from China and other locations with some of the first cases has provided invaluable information to guide the next stage of research and treatment. However, as large-scale clinical trials are difficult to deploy rapidly, much of the next wave will rely on real-world data (RWD) and observational studies paired with basic and translational research to guide the response to and management of COVID-19.Source: Medium
"Introduction to Biomedical Data Science and Health Informatics" Summer Course, June 8-12, Will Be Online
A one-week online summer course to offer basic biomedical data science knowledge and health informatics skills. Each day will consist of office hours and labs. Lectures will be distributed in advance.
Discovering the 'Cytokine Language' That Activates Immune Responses
Using a new computational method based on a causal inference framework, CINEMA-OT, the Yale team studied how individual immune cells react to combinations of cytokines, or small proteins released by cells that regulate inflammation. They discovered that certain cytokines have a synergistic effect, inducing unique gene activation programs compared to their individual effects. This cryptography of cytokine signals acts as a language, instructing immune cells.
A Status Report on AI in Laboratory Medicine
Artificial intelligence (AI) models in healthcare have the potential to improve the precision and speed of personalized medicine for patients, in some cases helping to identify the best treatment or preventive care. Clinicians are already implementing these models in areas such as early detection of sepsis and analyzing radiology images for diagnosis of prostate cancer and other conditions. It’s a growing area of interest that laboratory medicine professionals should pay attention to, as data generated by laboratory testing is a major component incorporated into AI tools to generate clinical decisions.Source: AACC Clinical Laboratory News