New AI tool accurately predicts both overall survival and disease-free survival after colorectal cancer diagnosis.
The model uses visual markers on pathology images to glean insights into a tumor’s genomic profile and predicts tumor behavior, disease progression, treatment response.
The new model could help augment clinical decision-making.
Because the AI tool relies on images alone, it could be particularly valuable for hospitals lacking the technology or expertise to perform sophisticated genomic profiling of tumor tissues.
Model Provides Actionable Insights for Physicians to Augment Clinical Decisions miragenews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from miragenews.com Daily Mail and Mail on Sunday newspapers.
Kendra Batchelder never expected that she would end up pursuing an Interdisciplinary Ph.D. in Computational Biomedicine, but in many ways it was the perfect culmination of her winding path through life so far. As Batchelder completes her final year researching mammogram image analysis with professor Andre Khalil, she is looking forward to the ways that […]
The event organized by the Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) and the Instituto Nacional de Bioinformática (INB / ELIXIR-ES) brings together more than 800 scientists from areas such as computational biology, bioinformatics, systems biology, artificial intelligence, biology, medicine, and environmental sciences. Thanks to new technologies related to Artificial Intelligence, computational biology allows us to move towards personalized medicine focused on prevention and tailored to each patient.
The Cedars-Sinai Department of Computational Biomedicine has received an $8 million grant from the National Institutes of Health to study Alzheimer’s disease.