AI Model Uses Routine Lab Tests to Predict Genetic Disease Risk
Mount Sinai researchers develop machine learning approach that analyzes common clinical data to determine penetrance of rare genetic variants.
Mount Sinai researchers develop machine learning approach that analyzes common clinical data to determine penetrance of rare genetic variants.
PathAI has received FDA 510(k) clearance for its AISight Dx digital pathology platform, enabling its use in primary diagnosis.
Pramana is deploying its autonomous whole-slide imaging system at VUMC’s pathology lab to digitize glass pathology slides.
Proscia has launched an updated version of Concentriq AP, enhancing AI-enabled pathology workflows to improve understanding of major cancers.
Stellaris is designed to significantly improve how scientists are able to capture three-dimensional images of living cells and tissues.
Roche's VENTANA DP 200 whole slide imaging system has received FDA clearance for diagnosing patients through digital pathology.