European Medical Journal

AI-Enhanced Approaches to Interstitial Lung Disease: A Review of Machine Learning Advances

Explore how machine learning is revolutionising interstitial lung disease management, enhancing early diagnosis, treatment, ...
NatureOpinion

Machine learning reveals potential consequences of cuts to US research

Governments have the right to decide how to spend money on science. Modelling shows that making instant cuts to grants ...
European Medical Journal

Machine Learning Improves Prediction of Urgent Care in Lung Cancer

Machine learning models using patient-reported outcomes, wearables, and clinical data accurately predicted urgent care visits ...
Healio

Machine learning model predicts urgent care visits during lung cancer treatment

Machine learning models can help predict which patients receiving systemic therapy for non-small lung cancer are most likely ...
AZoRobotics on MSN

Researchers at Moffitt Cancer Center Develop Explainable Machine Learning Model to Predict Urgent Care Visits in Lung Cancer Patients

Integrating clinical data with patient insights, this model improves risk prediction for urgent care visits in lung cancer patients undergoing systemic therapy.
Knowridge Science Report

This blood test detects head and neck cancer 10 years before symptoms

In a study published in the Journal of the National Cancer Institute, Mass General Brigham researchers show that a novel ...
TMCnet

Building a National Lung Cancer Screening Model with AI: Early Lessons from Australia

BRISBANE, Australia and SEOUL, South Korea, Sept. 26, 2025 /PRNewswire/ -- Coreline Soft announced today it will host an ...

Sniffing out cancer: Volatile organic compounds show promise for early multi-cancer detection

A research team led by Prof. Chu Yannan at the Hefei Institutes of Physical Science, Chinese Academy of Sciences, has ...

Tiniest lung tumors that are hardest to reach can be diagnosed with robot-assisted bronchoscope

A cutting-edge bronchoscope that is guided with the help of a robot can reach very small tumors growing in hard-to-reach ...

Machine learning and cell imaging combine to predict effectiveness of multiple sclerosis medication

Brazilian researchers, in partnership with French institutions, have developed a tool that can predict how patients will respond to natalizumab, one of the most commonly used drugs for treating ...
The Malaysian Reserve

AI in Oncology For Analytical Solutions Market Size & Share to Surpass $8.86 Billion by 2035, Growing at a CAGR 21% | Vantage Market Research

Global AI in Oncology For Analytical Solutions Market to Transform Cancer Care Accelerating Early Detection, Precision ...
PharmiWeb

Cancer Biomarkers Market: Driving Precision in Oncology with Rapid Growth and Innovation

Introduction: The Critical Role of Cancer BiomarkersCancer remains one of the leading causes of death globally, with millions of new cases diagnosed each year. A key weapon in the fight against cancer ...