Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Haoyu Cheng, Ph.D., assistant professor of biomedical informatics and data science at Yale School of Medicine, has developed a new algorithm capable of building complete human genomes using standard ...

Small variations in DNA sequence can alter an organism’s response to the environment or susceptibility to disease. Interpreting the impact of genome sequence variation remains a research challenge.

Sometimes, in genetics, two wrongs do make a right. A research team has recently shown that two harmful genetic variants, when occurring together in a gene, can restore function—proving a decades-old ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

This code was used for the AIMC'25 paper "Using Large Language Models as Fitness Functions in Evolutionary Algorithms for Music Generation". The code was tested on Ubuntu 20.04, 22.04, and 24.04 and ...

A new algorithm enabled smartwatch fitness trackers to more accurately estimate energy expenditure by individuals with obesity. In two studies conducted in a total of 52 people for 1838 minutes in a ...

For many, fitness trackers have become indispensable tools for monitoring how many calories they've burned in a day. But for those living with obesity, who are known to exhibit differences in walking ...

People with obesity exhibit differences in walking gait, speed, energy burn and more Research team created an open-source, dominant-wrist algorithm specifically tuned for people with obesity Scientist ...

High fitness was associated with lower dementia risk, even in people with genetic predisposition. Across all age groups between 39 and 70, higher fitness was tied to better cognitive function.