Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Sumit, Madan"'
Autor:
Sumit Madan, Manuel Lentzen, Johannes Brandt, Daniel Rueckert, Martin Hofmann-Apitius, Holger Fröhlich
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-22 (2024)
Abstract Deep neural networks (DNN) have fundamentally revolutionized the artificial intelligence (AI) field. The transformer model is a type of DNN that was originally used for the natural language processing tasks and has since gained more and more
Externí odkaz:
https://doaj.org/article/946beefb38ca40a88dd728fcc6a96822
Autor:
Hang Quach, Gurdeep Parmar, Enrique M. Ocio, H. Miles Prince, Albert Oriol, Helen Crowther, Nobuhiro Tsukada, Pierre Bories, Sumit Madan, Nitya Nathwani, Kazutaka Sunami, Dorothee Semiond, Disa Yu, Paul Cordero, Sandrine Macé, Florence Suzan, Philippe Moreau
Publikováno v:
Haematologica, Vol 999, Iss 1 (2024)
Not available.
Externí odkaz:
https://doaj.org/article/8ad9129ba0484886a633e43d1cd4da44
Autor:
Darrell White, Gary J. Schiller, Sumit Madan, Suzanne Lentzsch, Evgeni Chubar, Noa Lavi, Dane R. Van Domelen, Ohad S. Bentur, Muhamed Baljevic
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
ObjectiveTo identify the optimal dose of selinexor in combination with pomalidomide and dexamethasone (SPd).MethodsAn analysis of efficacy and safety of 2 once-weekly selinexor regimens (60 mg and 40 mg) with pomalidomide and dexamethasone (SPd-60 an
Externí odkaz:
https://doaj.org/article/faf3645ed4d642638bc528022e510fa6
Autor:
Negin Sadat Babaiha, Hassan Elsayed, Bide Zhang, Abish Kaladharan, Priya Sethumadhavan, Bruce Schultz, Jürgen Klein, Bruno Freudensprung, Vanessa Lage-Rupprecht, Alpha Tom Kodamullil, Marc Jacobs, Stefan Geissler, Sumit Madan, Martin Hofmann-Apitius
Publikováno v:
Artificial Intelligence in the Life Sciences, Vol 4, Iss , Pp 100078- (2023)
Background: Biomedical knowledge graphs (KG) have become crucial for describing biological findings in a structured manner. To keep up with the constantly changing flow of knowledge, their embedded information must be regularly updated with the lates
Externí odkaz:
https://doaj.org/article/2d81908cce8d47bdbbb0de9dfedccef6
Autor:
Muhamed Baljevic, Cristina Gasparetto, Gary J. Schiller, Sascha A. Tuchman, Natalie S. Callander, Suzanne Lentzsch, Jorge Monge, Rami Kotb, Nizar J. Bahlis, Darrell White, Christine I. Chen, Heather J. Sutherland, Sumit Madan, Richard LeBlanc, Michael Sebag, Christopher P. Venner, William I. Bensinger, Noa Biran, Andrew DeCastro, Dane R. Van Domelen, Chris Zhang, Jatin J. Shah, Sharon Shacham, Michael G. Kauffman, Ohad S. Bentur, Brea Lipe
Publikováno v:
eJHaem, Vol 3, Iss 4, Pp 1270-1276 (2022)
Abstract There is a lack of consensus on therapy sequencing in previously treated multiple myeloma, particularly after anti‐B‐cell maturation antigen (BCMA) therapy. Earlier reports on selinexor (X) regimens demonstrated considerable efficacy in
Externí odkaz:
https://doaj.org/article/cc625c53f2e041649d56e52c14f79586
Autor:
Sophia Krix, Lauren Nicole DeLong, Sumit Madan, Daniel Domingo-Fernández, Ashar Ahmad, Sheraz Gul, Andrea Zaliani, Holger Fröhlich
Publikováno v:
Heliyon, Vol 9, Iss 9, Pp e19441- (2023)
Adverse drug events constitute a major challenge for the success of clinical trials. Several computational strategies have been suggested to estimate the risk of adverse drug events in preclinical drug development. While these approaches have demonst
Externí odkaz:
https://doaj.org/article/4ab39dda7cea48bfb94108aed26f2ee7
Autor:
Darrell White, Muhamed Baljevic, Gary Schiller, Suzanne Lentzsch, Evgeni Chubar, Noa Lavi, Dane Van Domelen, Ohad Bentur, Sumit Madan
Publikováno v:
HemaSphere, Vol 7, p e899038f (2023)
Externí odkaz:
https://doaj.org/article/b8ad9ccb9a8741008a6b591a95cc73d4
Autor:
Jonas Botz, Danqi Wang, Nicolas Lambert, Nicolas Wagner, Marie Génin, Edward Thommes, Sumit Madan, Laurent Coudeville, Holger Fröhlich
Publikováno v:
Frontiers in Public Health, Vol 10 (2022)
The COVID-19 pandemic has highlighted the lack of preparedness of many healthcare systems against pandemic situations. In response, many population-level computational modeling approaches have been proposed for predicting outbreaks, spatiotemporally
Externí odkaz:
https://doaj.org/article/acedc19085574a1a921ceaa31db8f85e
Autor:
Sajad Khaliq Dar, Sudershan Kumar, Sovan Maiti, Shilpi Dhawan, Sadhna Joglekar, Upasana Arora, Rinku Kalra, Sumit Madan, Altaf A. Lal, Venugopal Singamaneni, Prasoon Gupta, Utpal Nandi, Deepika Singh, Arshad H. Khuroo
Publikováno v:
Heliyon, Vol 8, Iss 5, Pp e09416- (2022)
Background and aim: Dengue a worldwide concern for public health has no effective vaccine or drug available for its prevention or treatment. There are billions of people who are at risk of contracting the dengue virus (DENV) infections with only anti
Externí odkaz:
https://doaj.org/article/925e46656a7f4ff5a9158f2101817788
Autor:
Rahul Shukla, Ravi Kant Rajpoot, Ankur Poddar, Richa Ahuja, Hemalatha Beesetti, Rajgokul K. Shanmugam, Shivam Chaturvedi, Kaushal Nayyar, Deepika Singh, Venugopal Singamaneni, Prasoon Gupta, Ajai Prakash Gupta, Sumeet Gairola, Pankaj Kumar, Y. S. Bedi, Tapesh Jain, Bhupendra Vashishta, Ravindra Patil, Harish Madan, Sumit Madan, Rinku Kalra, Ruchi Sood, Ram A. Vishwakarma, D. Srinivasa Reddy, Altaf A. Lal, Upasana Arora, Navin Khanna
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
Dengue is a serious public health concern worldwide, with ∼3 billion people at risk of contracting dengue virus (DENV) infections, with some suffering severe consequences of disease and leading to death. Currently, there is no broad use vaccine or
Externí odkaz:
https://doaj.org/article/a2f36b9d0b3b4046aab203f00ae8f603