Работы, цитирующие эту работу

Работ: 4

Работа: Opportunities and obstacles for deep learning in biology and medicine

1. Ferroptosis and non-coding RNAs in breast cancer: insights into CAF and TAM interactions

   Mohamed J. Saadh, Ashok Kumar Bishoyi, Suhas Ballal +7

   Обзорная статьяCancer-related molecular mechanisms researchDiscover Oncology2025Цитирований: 2

   ABIABI:AkademIndex/openalex/2025.review-article.000087

2. Position Statements of the Emerging Trends Committee of the Asian Oceanian Society of Radiology on the Adoption and Implementation of Artificial Intelligence for Radiology

   Nicole Kessa Wee, Kim-Ann Git, Wen‐Jeng Lee +7

   Обзорная статьяArtificial Intelligence in Healthcare and EducationKorean Journal of Radiology2024Цитирований: 1

   ABIABI:AkademIndex/openalex/2024.review-article.000086

3. Predicting the activity and properties of chemicals based on RoBERTa

   Davronov Rifqat Rahimovich, Safarov Ro'zmat Abdiqayum O'g'li, Abdumalikov Shoxrux Qaxramon O'g'li

   СтатьяComputational Drug Discovery Methods2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 0

   ABIABI:AkademIndex/openalex/2021.article.001792

4. AI and ML in Genomic Research: Unlocking the Potential of Precision Medicine

   Otamurod Muminov, Sherzod Muradov, Davlatshokh Numonov +3

   СтатьяArtificial Intelligence in Healthcare and Education2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.006411