Protein unties tangled DNA linked to hotspots of cancer mutations

New research published in Nature Communications has linked a normal cellular process to an accumulation of DNA mutations in ...
Fierce Biotech

GE HealthCare, Mayo Clinic launch digital twin project for personalizing radiation cancer therapy

GE HealthCare and the Mayo Clinic are expanding their long-running collaborative work to now include the development of new personalized radiation therapy approaches for cancer, with a pl | The ...

Machine learning reveals how disordered protein regions contribute to cancer-causing condensates

Fusion oncoproteins arise when a gene fuses with another gene and acquires new abilities. Such abilities can include the ...
The Lancet

FaceAge, a deep learning system to estimate biological age from face photographs to improve prognostication: a model development and validation study

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...
IEEE

Enhanced Breast Cancer Molecular Biomarker Classification: A Novel Two-Stage Machine Learning Pipeline for Accurate Histological Analysis of Whole Slide Images

Abstract: Breast cancer, a prevalent and diverse form of cancer, is characterized by unique clinicopathologic features. Accurate classification of its molecular subtype, essential for targeted ...
GitHub

Imprecise Probabilistic Machine Learning

“There are known knowns. There are known unknowns. But there are also unknown unknowns—things we do not yet realize we do not know.”—Donald Rumsfeld (2002) While modern machine learning (ML) ...
IEEE

A Real-World Large-Scale Infrared Image Dataset and Multitask Learning Framework for Power Line Surveillance

Abstract: Nowadays, power line surveillance widely utilizes infrared images collected by drones for instance segmentation (IS) to determine whether the power equipment is abnormal, such as overheating ...