Fischer Medical Subsidiary, Time Medical India, Collaborates with Dr. Cherian to Pioneer Next-Generation AI-Enabled MRI System

Fischer Medical Ventures Limited (FISCHER \| 524743 \| INE771F01041), Time Medical International Ventures (I) P LTD, the wholly owned ...
News-Medical.Net

Using machine learning to shed light on how well the triage systems work

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.
C&EN

Predicting the Ionization Behavior of Drugs in Tissue in MALDI and MALDI-2 Mass Spectrometry Imaging Using Machine Learning

Institute of Hygiene, University of Muenster, Muenster, North Rhine-Westphalia 48149, Germany ...
IEEE

Unraveling the State of the Art: A Comprehensive Review of Brain Tumor Detection Techniques

Abstract: This abstract gives a comprehensive assessment of the most recent strategies for detecting brain tumours. It investigates advances in medical imaging, machine learning, and computer-assisted ...
IEEE

Deep Learning Approaches for Enhancing Image Classification Accuracy in Medical Imaging

Abstract: Medical imaging plays a significant role in diagnosing and treating several disorders, with correct image classification being essential for effective decision-making. Recent advancements in ...
Bleeping Computer

SimonMed says 1.2 million patients impacted in January data breach

U.S. medical imaging provider SimonMed Imaging is notifying more than 1.2 million individuals of a data breach that exposed their sensitive information. SimonMed Imaging is an outpatient medical ...
Fox News

Ozempic and similar drugs could interfere with common medical procedure, research warns

Researchers have revealed a surprising new side effect linked to GLP-1 agonists, such as Ozempic, Wegovy, Mounjaro and Zepbound. These popular treatments for diabetes and obesity could interfere with ...
Frontiers

Integrating multimodal ultrasound imaging and machine learning for predicting luminal and non-luminal breast cancer subtypes

Rationale and Objectives: Breast cancer molecular subtypes significantly influence treatment outcomes and prognoses, necessitating precise differentiation to tailor individualized therapies. This ...