首页|University of Helsinki Reports Findings in Artificial Intelligence (Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence- Detected Prognostic Regions in High-Grade Serous Carcinoma)

University of Helsinki Reports Findings in Artificial Intelligence (Opening the Black Box: Spatial Transcriptomics and the Relevance of Artificial Intelligence- Detected Prognostic Regions in High-Grade Serous Carcinoma)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting from Helsinki, Finland , by NewsRx journalists, research stated, “Image-based deep learning models are used to extract new information from standard hematoxylin and eosin pathology sl ides; however, biological interpretation of the features detected by artificial intelligence (AI) remains a challenge. Highgrade serous carcinoma of the ovary (HGSC) is characterized by aggressive behavior and chemotherapy resistance, but also exhibits striking variability in outcome.”

HelsinkiFinlandEuropeArtificial IntelligenceCancerCarcinomasChemotherapyDrugs and TherapiesEmerging TechnologiesHealth and MedicineMachine LearningOncologySerous Carcinoma

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.17)