Showing 96-100 of 175 news & articles:
Hard to Define, Harder to Find Patients: Using AI & Real-World Data to Understand Treatment Resistant Depression

Read the latest blog featuring Drs. Carl Marci & Joseph Zabinski in tHEORetically Speaking Written by: Undine McEvoy March 13, 2023 Mental health conditions can take a staggering toll on an individual physically, socially and financially. Many patients languish with partially effective or ineffective treatments, even though new options are constantly entering the market. At[…]

OM1 EXPANDS MENTAL HEALTH OFFERING WITH REAL-WORLD DATASETS INCLUDING SCHIZOPHRENIA AND BIPOLAR DISORDER

  Utilizing unique AI modeling capabilities with the new datasets, the company commits to improving personalized treatment options and outcomes for patients   BOSTON, March 2, 2023 — OM1 a leading real-world data, outcomes and technology company with a focus on chronic conditions, today announced the enhancement of its Mental Health and Neuroscience Real-World Data[…]

AI Uncovers Other Patients Like You to Support Doctors with ChatGPT

Watch the full interview from Healthcare IT about ChatGPT for un-diagnosed patients with Joseph Zabinski, PhD, Senior Director, AI & Personalized Medicine at OM1. The road to diagnosis can be taxing for patients and once diagnosed, personalized treatment plans are still created with an element of guess work. Automation and artificial intelligence (AI) are the[…]

Kazuki Yoshida, MD, MPH, ScD: Methotrexate Access in the Post-Roe v Wade Era

Published: December 1, 2022 Rheumatology Network Read the Full Article >> In the wake of the Supreme Court’s decision to overturn Roe v Wade, results of a recent study indicated that more than half of female patients treated with methotrexate, a commonly-prescribed drug used to manage rheumatic diseases, lived in states with abortion restrictions or[…]

Validation of a machine learning approach to estimate expanded disability status scale scores for multiple sclerosis

Published: June 22, 2022 Sage Journals Read the Full Article >> Background: Disability assessment using the Expanded Disability Status Scale (EDSS) is important to inform treatment decisions and monitor the progression of multiple sclerosis. Yet, EDSS scores are documented infrequently in electronic medical records. Objective: To validate a machine learning model to estimate EDSS scores[…]