Researchers sought to test the performance of a deep learning model system using longitudinal magnetic resonance imaging (MRI) in predicting early recurrence in patients with hepatocellular carcinoma.

A proposed cancer survivorship model that involves interdisciplinary coordination and the use of digital tools has the potential to “move the outcomes needle,” according to researchers.In a paper ...

An experimental breast cancer vaccine at Moffitt Cancer Center in Tampa created a unique bond between a patient and a cell ...

City of Hope researchers demonstrate proof of concept for a novel targeted therapy for pancreatic cancer, exploiting transcription-replication conflicts to combat treatment resistance.

Researchers from the Department of Pathology, School of Clinical Medicine at the LKS Faculty of Medicine of the University of ...

Researchers at City of Hope have identified a new molecular target for treating pancreatic cancer, reports a Gastroenterology ...

In a major step forward for cancer treatment, researchers have developed a new type of “smart” chemical that attacks ...

The patient segmentation model discussed here divides the patient population into four behavioural groups: patients that are looking for change in their health and are either coping or not coping ...

Brain Tumor Organoids Accurately Model Patient Response to CAR T Cell Therapy Dec. 9, 2024 — Researchers used lab-grown organoids created from tumors of individuals with glioblastoma (GBM ...

Researchers have identified a new molecular target for treating pancreatic cancer. Scientists focused on transcription-replication conflicts (TRCs), which occur when the mechanisms responsible for ...

This work developed a new deep learning framework, MULGONET, to predict cancer recurrence and identify key biomarkers by ...

Mahnaz Fatahzadeh is recognized by Rutgers for her efforts to provide future health care providers with foundational ...