ascopubs.org

Machine learning–based classification of cancer types using genomic profiling data from the Australian Molecular Screening and Therapeutics (MoST) program.

Early detection of lung cancer in smokers using miRNA profiles and a hybrid deep learning framework. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does not ...
BMJ

Machine learning approaches to injury risk prediction in sport: a scoping review with evidence synthesis

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
EDN

BrainChip delivers new approach to machine learning with neuromorphic SoC

BrainChip Holdings Ltd. Claims that it’s the first company to deliver a spiking neural network (SNN) architecture to market. The company will begin sampling its new neuromorphic system-on-a-chip (SoC) ...
Phys.org

Mapping cell development with mathematics-informed machine learning

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions via a process called cell fate determination. The fate of individual cells, ...
National Academies of Sciences%2c Engineering%2c and Medicine

Implementing Machine Learning at State Departments of Transportation: A Guide

This guide adopts the high-level roadmap in Figure 1 as a framework for building agency ML capabilities, starting with an ML pilot project. The roadmap consists of 10 steps and includes a loop from ...