A breakthrough in genetic risk prediction allows polygenic scores to continuously improve as new patient data arrives. This real-time approach could transform how we assess disease risk and deliver personalized medicine.
Researchers have developed machine learning models that can distinguish Lyme neuroborreliosis from viral meningitis with over 90% accuracy using protein signatures. This breakthrough could address longstanding diagnostic challenges for the complex neurological condition.
Scientists have created a novel deep learning pipeline that significantly improves colorectal cancer detection while reducing computational demands. The system uses attention mechanisms to identify tumor regions and functions effectively even with lower-resolution images.
Researchers have developed an innovative deep learning system that reportedly detects colorectal cancer in histopathology images with remarkable efficiency, according to recent findings published in Scientific Reports. The new approach combines attention mechanisms with strategic image downsampling to address two major challenges in medical AI: computational demands and generalization across diverse datasets.
Revolutionizing Male Fertility Diagnostics Through Whole-Genome Sequencing Male infertility affects millions of couples worldwide, yet the underlying genetic causes remain…
Researchers have developed an AI-powered “Digital Colony Picker” that automates the discovery of high-performance microbial clones. The system monitors growth and metabolite production in real-time, eliminating manual processes. This breakthrough reportedly accelerates synthetic biology workflows by transforming single-cell phenotyping into a scalable process.
Scientists from the Qingdao Institute of Bioenergy and Bioprocess Technology have developed a fully automated “Digital Colony Picker” that accelerates the discovery of high-performance microbes, according to reports published in Nature Communications. The device simultaneously monitors microbial growth and metabolite production while eliminating the need for traditional culture plates and manual picking processes.
