Ten challenges and opportunities in computational immuno-oncology

Journal for ImmunoTherapy of Cancer, Год журнала: 2024, Номер 12(10), С. e009721 - e009721

Опубликована: Окт. 1, 2024

Immuno-oncology has transformed the treatment of cancer, with several immunotherapies becoming standard across histologies. Despite these advancements, majority patients do not experience durable clinical benefits, highlighting imperative for ongoing advancement in immuno-oncology. Computational immuno-oncology emerges as a forefront discipline that draws on biomedical data science and intersects oncology, immunology, research, overarching goal to accelerate development effective safe treatments from laboratory clinic. In this review, we outline 10 critical challenges opportunities computational immuno-oncology, emphasizing importance robust strategies interdisciplinary collaborations amid constantly evolving interplay between needs technological innovation.

Язык: Английский

Deep Learning-Based Classification of CKD by Renal Lymphatic Vessel Immunohistochemical Slides

Опубликована: Янв. 1, 2024

Язык: Английский