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Research and developments at the intersection of artificial intelligence and healthcare.

Why it matters: AI is transforming how we diagnose, treat, and prevent disease. Staying informed helps clinicians and patients make better decisions.

Physical activity as a modifiable risk factor in preclinical Alzheimer’s disease
Nature Medicine - AI Section2 min read

Inactivity speeds up brain protein buildup in Alzheimer's

While genetic risks for Alzheimer's cannot be changed, lifestyle factors are highly modifiable. A five-year study tracked 1,200 cognitively normal older adults who were at risk for developing dementia. Researchers monitored their physical activity levels alongside brain health indicators. They discovered that physical inactivity was significantly associated with a faster accumulation of tau, a toxic protein that damages brain cells, as well as accelerated mental decline. The findings suggest that staying physically active is a powerful, accessible defense mechanism that can actively alter the trajectory of brain aging and delay the onset of dementia symptoms.
ArXiv - Quantitative Biology2 min read

Mathematical model refines tracking of COVID-19 transmission

To control infectious diseases like COVID-19, public health officials rely on mathematical numbers called R0 and Rt, which measure how fast a virus is spreading. However, early calculations often struggle to account for the exact timing of when people become contagious, especially when they spread the virus before showing symptoms. Researchers developed a refined mathematical model that uses a specific bell-curve distribution to map these transmission intervals. By better accounting for presymptomatic spread, this framework provides a more accurate tool for predicting outbreaks, evaluating the success of lockdowns, and determining exact vaccination rates needed to protect communities.