LLMs can identify major depressive disorder via voice note recordings

A new medical large language model (LLM) achieved over 91% accuracy in identifying female participants diagnosed with major ...
The Daily Pennsylvanian

From data analysis to pattern recognition: Here’s how Penn Medicine is using artificial intelligence

Across the University of Pennsylvania Health System, scientists are now using AI to enhance their understanding of biological systems and modern medicine.
Study Finds

Scientists Discover Early Gene Change in Pancreatic Cancer

Gene that drops early in pancreatic tumors linked to shorter survival at stage II. Findings could guide future treatment ...
Jacobs School of Medicine and Biomedical Sciences - University at Buffalo

CTSI Awards Translational Pilot Studies Grants for 2026

“The projects awarded pilot studies grants for 2026 address important clinical and translational science questions,” says CTSI Director Sanjay Sethi, MD, SUNY Distinguished Professor of medicine and ...
Beebom

AI vs Machine Learning: What is the Difference?

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...
IEEE

Precision Brain Tumor Detection using Machine Learning

Abstract: Early Detection of brain tumors is essential not only for effective diagnosis but also for improving patient outcomes. This study introduces an automated brain tumor classification system ...
Frontiers

Development and validation of a deep learning model using MR imaging for predicting brain metastases: an accuracy-focused study

Background: Brain metastases (BM), originating from extracranial malignancies, significantly threaten patient health. Accurate BM identification is crucial but labor-intensive manually. This study ...
Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
Scientific Research Publishing

From U-Net to Swin-Unet Transformers: The Next-Generation Advances in Brain Tumor Segmentation with Deep Learning ()

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...