Microsoft’s AI for Good Lab has created Seq2Symm, an open-source AI tool that helps scientists determine the 3D shapes of certain proteins, including those found in viruses.Seq2Symm uses AI to predict a protein’s 3D…
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We detect and interactively visualize occurrence, frequency, sequence, and clustering of extraintestinal manifestations (EIM) and associated immune disorders (AID) in 30,334 inflammatory bowel disease (IBD) patients (Crohn’s disease (CD) n = 15924, ulcerative colitis (UC) n = 11718,…
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The Ministry of Science and Technology in India has set an ambitious target of sequencing around 10 million genomes representing the diversity of the country’s local population. Dr Jitendra Singh, Union Minister of State for…
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Accurately predicting binding affinities between drugs and targets is crucial for drug discovery but remains challenging due to the complexity of modeling interactions between small drug and large targets. This study proposes DMFF-DTA, a…
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I had a bittersweet moment today. I watched one of my favorite pieces of healthcare software fade into the sunset. The health system where I spent the majority of my career finally retired the…
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Dozens of health systems representing millions of patients across the United States are collaborating with the Truveta Genome Project, Regeneron Genetics Center and genomic sequencing company Illumina to sequence the exomes of their first…
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Mayo Clinic’s Tapestry Study has demonstrated that next generation genetic analysis can have a significant impact on patient care.
By John Halamka, M.D., President, Mayo Clinic Platform and Paul Cerrato, MA, senior research analyst and…
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The COVID-19 pandemic has challenged the current paradigm of clinical and community-based disease detection. We present a multimodal wearable sensor system paired with a two-minute, movement-based activity sequence that successfully captures a snapshot of…
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Deep learning has enabled breakthroughs in automated diagnosis from medical imaging, with many successful applications in ophthalmology. However, standard medical image classification approaches only assess disease presence at the time of acquisition, neglecting the…
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New AI helps lower cost of drug discoveryAustralian researchers have created a new drug discovery AI tool for decoding protein-molecule interactions without the need for rendering costly 3D structures.
Their drug discovery model called PSICHIC (PhySIcoCHemICal)…
