A Novel AI Predict Inner Cell Functions
More potent AI models and the amassing of vast amounts of cell data in recent years are beginning to turn biology into a more predictive science.
Category: Artificial Intelligence
Genomics Research Can be Automated by Artificial Intelligence
The researchers tested five different LLMs and discovered that GPT-4 performed the best, finding common functions of curated gene sets from a popular genomics database with an accuracy rate of 73%.
AI is more accurate than human specialists at predicting outcomes of science research
Large language models a form of artificial intelligence that analyzes text are better than human experts at predicting the outcomes of proposed neuroscience investigations.
Researchers developed AI-designed DNA switches which can flip genes
Their novel method makes it feasible to regulate gene expression in the body in previously unattainable ways, which might improve human health and medical research.
A New AI Model Learns DNA’s Hidden Language
Ever since the double helix was discovered, researchers have worked to decipher the information contained inside DNA.
Researchers developed AI-powered detection of genetic epilepsies over current genetic diagnosis
Numerous treatments are being developed to target the genes causing the more than 100 epilepsies that have been linked to a single gene mutation.
Genetic diagnostics identifies 34 new genetic diseases
For the best possible care, ultra-rare illnesses need both sophisticated genetic tests and diverse clinical competence.
New drugs for antibiotic-resistant bacteria, developed using generative AI
A new artificial intelligence model called SyntheMol is developed by Stanford Medicine researchers. It generates formulas that chemists may use to synthesize pharmaceuticals in the lab.
Research: AI surveillance tool saves lives by predicting sepsis
Researchers discover that they can identify sepsis before symptoms appear by using a special AI system that keeps track of several patient factors, such as vital signs and test findings.
A new class of antibiotic candidates were identified using AI – Research
Researchers demonstrated that these substances could eradicate methicillin-resistant Staphylococcus aureus.
