Benjamin S. Glicksberg
Icahn School of Medicine at Mount Sinai
272 Papers
326 Citations
Benjamin S. Glicksberg is an academic researcher from Icahn School of Medicine at Mount Sinai. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 33, co-authored 182 publications. Previous affiliations of Benjamin S. Glicksberg include Hasso Plattner Institute & University of California, Berkeley.
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Papers
Predicting Age-related Macular Degeneration Progression with Longitudinal Fundus Images Using Deep Learning
Junghwan Lee,Tingyi Wanyan,Qingyu Chen,Tiarnan D. L. Keenan,Benjamin S. Glicksberg,Emily Chew,Zhiyong Lu,Fei Wang,Yifan Peng +8 more
TL;DR: In this article , two deep learning models, CNN-LSTM and CNN-Transformer, were proposed to predict the risk of late age-related macular degeneration.
OCTAD: an open workspace for virtually screening therapeutics targeting precise cancer patient groups using gene expression features.
Billy Zeng,Billy Zeng,Benjamin S. Glicksberg,Benjamin S. Glicksberg,Patrick A. Newbury,Evgeny Chekalin,Jing Xing,Ke Liu,Anita Wen,Caven Chow,Bin Chen +10 more
TL;DR: Open Cancer TherApeutic Discovery (OCTAD) as discussed by the authors is a software pipeline for finding drugs that alter gene expression in such a way that they are likely to reverse the expression pattern of the disease.
Digital health and mobile health: a bibliometric analysis of the 100 most cited papers and their contributing authors
Awk Yeung,O. Litvinova,N. Bragazzi,Yousef Khader,Md Mostafizur Rahman,Zafar Said,Robert S. H. Istepanian,Anastasios Koulaouzidis,Adeyemi O. Aremu,James Flanagan,Navid Rabiee,Sheikh Mohammed Shariful Islam,Devesh Tewari,Ganesh Venkatachalam,Giustino Orlando,Josef Niebauer,Alexandros G. Georgakilas,Mohammad Reza Saeb,Dalibor Hrg,Yufei Yuan,M. Imran,Huanyu Cheng,Eliana B. Souto,Hari Prasad Devkota,Maurizio Leone,Jamballi G. Manjunatha,Nikolay T. Tzvetkov,Maima Matin,Olga Adamska,Sabine Völkl-Kernstock,Fabian Peter Hammerle,Farhan Bin Matin,Bodrun Naher Siddiquea,Dongdong Wang,Jivko Stoyanov,J. O. Horbańczuk,Magdalena Koszarska,Emil D. Parvanov,Iga Bartel,Artur Jóźwik,Natalia Ksepka,Bogumila Zima-Kulisiewicz,Björn W. Schuller,Gaurav Pandey,David W Bates,Tien Y Wong,Benjamin S. Glicksberg,Maciej Banach,C. Tomasik,Seifedien Kadry,Ronan Lordan,Faisal A. Nawaz,Rajeev K Singla,A. Mohanasundaram,Himel Mondal,Ayesha Juhi,Shaikat Mondal,M Cenanovic,Aleksandra Zielińska,C. Tsagkaris,Ronita De,Siva Sai Chandragiri,Robertas Damaševičius,Mugisha Nsengiyumva,Artur Stolarczyk,Okyaz Eminaga,Marco Cascella,Harald Willschke,Atanas G. Atanasov +68 more
- 22 Apr 2024
TL;DR: Several diseases and health conditions were identified as a focus of these works, including anxiety, depression, diabetes mellitus, cardiovascular diseases, and coronavirus disease 2019 (COVID-19).
Evaluating cell lines as models for metastatic breast cancer through integrative analysis of genomic data
Ke Liu,Patrick A. Newbury,Benjamin S. Glicksberg,William Z. D. Zeng,Shreya Paithankar,Eran R. Andrechek,Bin Chen +6 more
TL;DR: Comparison of genomic and transcriptomic profiles of different breast cancer cell lines and organoids to data from patient-derived breast cancer metastases reveals substantial genomic differences and suggests that organoids more closely resemble the transcriptome of metastatic breast cancer samples compared to cell lines.
Leveraging Big Data to Transform Drug Discovery
TL;DR: The current chapter outlines and detail the various resources and tools one can leverage in order to perform computational drug discovery analyses and describes in depth the in silico workflows of two recent studies that have identified possible novel indications of existing drugs.