Showing 96-100 of 143 news & articles:
A new approach to identifying patients with elevated risk for Fabry disease using a machine learning algorithm

December 20, 2021 – Orphanet Journal of Rare Diseases Read the Full Article >> Background Fabry disease (FD) is a rare genetic disorder characterized by glycosphingolipid accumulation and progressive damage across multiple organ systems. Due to its heterogeneous presentation, the condition is likely significantly underdiagnosed. Several approaches, including provider education efforts and newborn screening, have[…]

Three Use Cases For Real-World Data & Artificial Intelligence For Devices And Diagnostics

SEPTEMBER 15, 2021 By Joseph Zabinski, PhD, Senior Director of AI & Precision Medicine, OM1 As innovation in devices and diagnostics accelerates, research approaches and outcomes programs also need to advance to support these developments with high-quality evidence.  At the same time, demonstrating the effectiveness of a device can be challenging because outcomes depend highly[…]

Real-World Data & Technology Company OM1 Closes $85 Million Financing To Make Healthcare More Measured, Precise, And Pre-Emptive

BOSTON, July 16, 2021 /PRNewswire/ — OM1, a health technology company focused on real-world outcomes for chronic conditions, today announced an $85 million financing led by D1 Capital Partners, Kaiser Permanente, and Breyer Capital, with participation from existing investors, including General Catalyst (GC), Polaris Partners, Scale Venture Partners, 7wire Ventures, and Glikvest. OM1 partners with providers, medical societies, payers, and[…]

Dell Medical School helps develop artificial intelligence tool for knee surgery

April 2, 2021 – Austin American-Statesman Read the Full Article >> If you had osteoarthritis in your knee, how would you know when it’s the right time to have knee replacement surgery? Dell Medical School at the University of Texas helped patients at UT Health Austin’s Musculoskeletal Institute answer that question by studying a new artificial intelligence tool[…]

Validation Of A Machine Learning Approach To Estimate Systemic Lupus Erythematosus Disease Activity Index Score Categories And Application In A Real-World Dataset

BMJ Journals Published: May 20, 2021 Read the Full Manuscript >>  Objective Use of the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) in routine clinical practice is inconsistent, and availability of clinician-recorded SLEDAI scores in real-world datasets is limited. This study aimed to validate a machine learning model to estimate SLEDAI score categories using clinical notes[…]

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