To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Please provide your email address to receive an email when new articles are posted on . Researchers are using machine learning to identify data-driven PCOS subtypes. Findings may lead to more precise ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

In the last several years, large language models (LLMs) like ChatGPT and Bard have shown the world the astounding power of generative AI for language creation tools. However, some of the most exciting ...

In a new study published in Nature titled, “Custom CRISPR-Cas9 PAM variants via scalable engineering and machine learning,” researchers from Massachusetts General Hospital (MGH) and Harvard Medical ...

BANGALORE, India , Feb. 17, 2026 /PRNewswire/ -- According to Valuates Reports, The global market for AI in Biotechnology was valued at USD 1033 Million in the year 2024 and is projected to reach a ...

Transaction combines Sema4’s leading AI- and machine learning-powered integrated genomic and clinical open-architecture data platform, with CM Life Sciences, the leading life science-focused SPAC, led ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

What if cattle were selected not only for their productivity, but also for their resistance to disease? A study conducted by ...

Hypermobile Ehlers–Danlos syndrome (hEDS) is one of the most common heritable connective tissue disorders. Early estimates have reported that this genetic disorder affects at least one in 5,000 ...