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Self-taught AI tool helps to diagnose and predict severity of common lung cancer

A computer program based on data from nearly a half-million tissue images and powered by artificial intelligence can accurately diagnose cases of adenocarcinoma, the most common form of lung cancer, a new study shows.

United statesUnited kingdomBojing liuXinyu yangNavneet natulaNicolas coudrayLuis chiribogaAristotelis tsirigosAdalberto claudio quirosAndre moreiraAnna yeatonAfreen karimkhanHortense leDavid moorePerlmutter cancer centerNature communications

Scientists harness generative AI for digital cancer diagnosis

Researchers say they've developed a new generative-AI model for diagnosing cancer, based on an analysis of images of tumor tissue.

Naoto usuyamaHoifung poonCarlo bifulcoUniversity of washingtonProvidence health systemElla maru studioProvidence genomicsCancer genome

Microsoft collaboration launches whole-slide AI model for digital pathology

Microsoft collaboration launches whole-slide AI model for digital pathology
fiercebiotech.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from fiercebiotech.com Daily Mail and Mail on Sunday newspapers.

Carlo bifulcoUniversity of washingtonCancer genome

Self-supervised foundation models mitigate bias in histopathology AI

Self-supervised foundation models mitigate bias in histopathology AI
healthitanalytics.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from healthitanalytics.com Daily Mail and Mail on Sunday newspapers.

Faisal mahmoodShania kennedyHealth sciencesUniversity of maryland eastern shoreNational institutes of healthDepartment of pathology at massHealth disparities in communitiesGeorge washington university gw school of medicineDivision of computational pathologyGetty imagesMass general brighamCancer genome atlasCancer genomeComputational pathologyGeorge washington universityMaryland eastern shore

Improved Molecular Classification Drives Tailored Treatment Approaches in Endometrial Cancer

Abdulrahman Sinno, MD, discusses the paradigm shift from a histology-based to molecular-based understanding of endometrial cancer and its impact on treatment outcomes.

University of miamiUnited statesAbdulrahman sinnoUniversity of miami miller school medicineNational cancerSylvester comprehensive cancer centerReproductive sciencesSurgical researchOnclive stateScience summitClinical obstetrics gynecologyMiami miller schoolCancer genomeNational cancer institute designatedSylvester comprehensive cancer centerUniversity of miami