At the Ambitious New A.I Museum, You Feel the Art, and It Feels You Right Back

A look inside Dataland in Los Angeles, dedicated entirely to A.I.-generated art. Refik Anadol, its founder, says it’s for ...
Frontiers

Personalizing Cancer Immunity: Host Factors, Immunonutrition, and Artificial Intelligence

Immune checkpoint inhibitors, adoptive cell therapies, and cancer vaccines have reshaped oncology, yet response remains highly heterogeneous and difficult ...
The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
Frontiers

Artificial Intelligence-Driven Biomarkers Development and Precision Strategies in Cancer Immunotherapy

Cancer immunotherapy has significantly changed the clinical management of multiple malignancies, yet substantial challenges remain in identifying which ...
IEEE

Lung Cancer Detecting using Radiomics Features and Machine Learning Algorithm

Abstract: Lung Cancer Incidence across the globe is the second leading cancer type tallying to about 2,206,771 during 2020 and is estimated to rise to about 3,503,378 by 2040 for both male and female ...
IEEE

Laryngeal Cancer Detection and Classification Using Aquila Optimization Algorithm With Deep Learning on Throat Region Images

Abstract: Laryngeal cancer detection on throat area images is a vital application of medical image diagnosis and computer vision (CV) in the healthcare domain. It contains the analysis and detection ...
eLife

A quantitative pipeline for whole-mount deep imaging and analysis of multi-layered organoids across scales

The Tapenade pipeline enables single-cell, whole-mount 3D quantification in dense multilayer organoids, linking spatial gene co-expression and nuclear deformation to emerging tissue-scale organization ...
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 ...
Cancer Research

Machine Learning Could Boost Skin Cancer Detection in Areas with Few Resources

Several foundation models, a type of machine learning algorithm trained on large datasets, proved highly accurate in detecting nonmelanoma skin cancers from tissue slides when adapted with minimal ...
The Lancet

Development, validation, and clinical application of a machine learning model for risk stratification and management of cervical cancer screening based on full-genotyping hrHPV ...

aDepartment of Gynecology, Fujian Key Laboratory of Women and Children's Critical Diseases Research, Fujian Maternity and Child Health Hospital, College of Clinical Medicine for Obstetrics & ...
Business Wire

Oxford Nanopore and UK Biobank to create world’s first epigenetic dataset targeting the causes of cancer, dementia, complex disease

OXFORD, England--(BUSINESS WIRE)--Oxford Nanopore Technologies, the company delivering a new generation of nanopore-based molecular sensing technology, today announced a new collaboration with UK ...
KTVZ

‘Godfather of AI’ shares Nobel Prize in physics for work on machine learning

(CNN) — The 2024 Nobel Prize in physics has been awarded to John Hopfield and Geoffrey Hinton for their fundamental discoveries in machine learning, which paved the way for how artificial intelligence ...