Top News
FDA updates its policy to accept de-identified real-world evidence to support drug and device application reviews. This change allows use of registries, insurance claims, and EHR data that were previously excluded because they…
Continue Reading
What You Should Know:
– MRO has acquired Clinetic, a recruitment management platform, to enhance its smarter data commitment. Financial details of the acquisition were not disclosed.
– The acquisition integrates Clinetic’s AI-driven software, which leverages…
Continue Reading
We’re excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Aaron Brauser, General Manager Life Sciences at Carta Healthcare.
AI should work in…
News
Cleveland Clinic will implement Dyania Health’s AI-powered tool that scans medical records to identify clinical trial candidates. The health system has also invested in the company. Founder and CEO Eirini Schlosser is a former…
Continue Reading
Current studies regarding the secondary use of electronic health records (EHR) predominantly rely on domain expertise and existing medical knowledge. A powerful representation approach can unleash the potential of discovering new medical patterns underlying…
Continue Reading
Pancreatic cancer (PC) is often diagnosed late, as early symptoms and effective screening tools are lacking, and genetic or familial factors explain only ~10% of cases. Leveraging longitudinal electronic health record (EHR) data may…
Continue Reading
Electronic health records (EHR) contain data from disparate sources, spanning various biological and temporal scales. In this work, we introduce the Multiple Embedding Model for EHR (MEME), a deep learning framework for clinical decision…
Continue Reading
We're excited to be back for another episode of the Life Sciences Today Podcast by Healthcare IT Today. My guest today is Alex Deyle, VP & General Manager, Clinical Research at Flatiron Health. Flatiron…
Continue Reading
The widespread adoption of Electronic Health Records (EHRs) and deep learning, particularly through Self-Supervised Representation Learning (SSRL) for categorical data, has transformed clinical decision-making. This scoping review, following PRISMA-ScR guidelines, examines 46 studies published…
Continue Reading
The complexities inherent in EHR data create discrepancies between real-world evidence and RCTs, posing substantial challenges in determining whether a treatment is likely to have a beneficial impact compared to the standard of care…
Continue Reading
