To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.
Newest Genome Browser features highlight the power of generative AI and machine learning for biology
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 ...
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 ...
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 ...
University of Toronto researchers have developed a new computational method to study how chromosomes within human cells are organized. The method could help advance precision medicine by shedding ...
What if cattle were selected not only for their productivity, but also for their resistance to disease? A study conducted by ...
In a comprehensive Genomic Press interview, Stanford University researcher Eric Sun reveals how machine learning is revolutionizing our understanding of brain aging at an unprecedented cellular ...
Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.
In an interview with Technology Networks, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results