Zobrazeno 1 - 10
of 19 989
pro vyhledávání: '"Madhu P."'
Real world predictors of response and 24-month survival in high-grade TP53-mutated myeloid neoplasms
Autor:
Amandeep Kaur, Alexandra E. Rojek, Emily Symes, Mariam T. Nawas, Anand A. Patel, Jay L. Patel, Payal Sojitra, Barina Aqil, Madina Sukhanova, Megan E. McNerney, Leo P. Wu, Aibek Akmatbekov, Jeremy Segal, Melissa Y. Tjota, Sandeep Gurbuxani, Jason X. Cheng, Su-Yeon Yeon, Harini V. Ravisankar, Carrie Fitzpatrick, Angela Lager, Michael W. Drazer, Caner Saygin, Pankhuri Wanjari, Panagiotis Katsonis, Olivier Lichtarge, Jane E. Churpek, Sharmila B. Ghosh, Ami B. Patel, Madhu P. Menon, Daniel A. Arber, Peng Wang, Girish Venkataraman
Publikováno v:
Blood Cancer Journal, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Current therapies for high-grade TP53-mutated myeloid neoplasms (≥10% blasts) do not offer a meaningful survival benefit except allogeneic stem cell transplantation in the minority who achieve a complete response to first line therapy (CR1
Externí odkaz:
https://doaj.org/article/c0e050742d8c498c9f4fc3640be68aa0
Autor:
Kelly A. Fader, Ingrid D. Pardo, Ramesh C. Kovi, Christopher J. Somps, Helen Hong Wang, Vishal S. Vaidya, Shashi K. Ramaiah, Madhu P. Sirivelu
Publikováno v:
Molecular Therapy: Methods & Clinical Development, Vol 25, Iss , Pp 264-277 (2022)
Adeno-associated virus (AAV)-induced dorsal root ganglia (DRG) toxicity has been observed in several nonclinical species, where lesions are characterized by neuronal degeneration/necrosis, nerve fiber degeneration, and mononuclear cell infiltration.
Externí odkaz:
https://doaj.org/article/86125310200649c0a9c68fcd0e3733f4
Publikováno v:
Hemato, Vol 3, Iss 1, Pp 268-286 (2022)
Follicular helper T-cell (TFH) lymphomas comprise a unique group of T-cell lymphomas that represent neoplastic proliferations of follicular helper T-cells and share genetic, immunophenotypic, morphologic, and clinical features. Angioimmunoblastic T-c
Externí odkaz:
https://doaj.org/article/bd3d127554da46cb8eaf2c6ac97c1ad7
Autor:
Biswas, Soumyajyoti, Sen, Parongama, Thota, Bhargav, Kodali, Hemanth, Datta, I. Vinay, Akash, K. Madhu Venkata
The strongly polarizing political discourse in the U. S. implies that a small minority of the population, determining the outcome of the presidential elections in a few so called battleground-states, also determines the outcome of the overall electio
Externí odkaz:
http://arxiv.org/abs/2411.02240
Motivated by recent advances in locally testable codes and quantum LDPCs based on robust testability of tensor product codes, we explore the local testability of tensor products of (an abstraction of) algebraic geometry codes. Such codes are paramete
Externí odkaz:
http://arxiv.org/abs/2410.22606
Autor:
D, Manjunath, Gurunath, Prajwal, Udupa, Sumanth, Gandhamal, Aditya, Madhu, Shrikar, Sikdar, Aniruddh, Sundaram, Suresh
Deep neural networks (DNNs) have shown exceptional performance when trained on well-illuminated images captured by Electro-Optical (EO) cameras, which provide rich texture details. However, in critical applications like aerial perception, it is essen
Externí odkaz:
http://arxiv.org/abs/2410.20953
Autor:
Codella, Noel C. F., Jin, Ying, Jain, Shrey, Gu, Yu, Lee, Ho Hin, Abacha, Asma Ben, Santamaria-Pang, Alberto, Guyman, Will, Sangani, Naiteek, Zhang, Sheng, Poon, Hoifung, Hyland, Stephanie, Bannur, Shruthi, Alvarez-Valle, Javier, Li, Xue, Garrett, John, McMillan, Alan, Rajguru, Gaurav, Maddi, Madhu, Vijayrania, Nilesh, Bhimai, Rehaan, Mecklenburg, Nick, Jain, Rupal, Holstein, Daniel, Gaur, Naveen, Aski, Vijay, Hwang, Jenq-Neng, Lin, Thomas, Tarapov, Ivan, Lungren, Matthew, Wei, Mu
In this work, we present MedImageInsight, an open-source medical imaging embedding model. MedImageInsight is trained on medical images with associated text and labels across a diverse collection of domains, including X-Ray, CT, MRI, dermoscopy, OCT,
Externí odkaz:
http://arxiv.org/abs/2410.06542
Autor:
Xie, Zhaoyang, Li, Chi, Murali, Krishna, Yu, Haoyi, Liu, Changxu, Lu, Yiqing, Maier, Stefan A., Bhaskaran, Madhu, Ren, Haoran
Phase-change materials (PCMs) are increasingly recognised as promising platforms for tunable photonic devices due to their ability to modulate optical properties through solid-state phase transitions. Ultrathin and low-loss PCMs are highly valued for
Externí odkaz:
http://arxiv.org/abs/2410.02413
Adolescents with chronic illnesses need to learn self-management skills in preparation for the transition from pediatric to adult healthcare, which is associated with negative health outcomes for youth. However, few studies have explored how adolesce
Externí odkaz:
http://arxiv.org/abs/2409.18275
In today's world of advanced AI technologies, data management is a critical component of any AI/ML solution. Effective data management is vital for the creation and maintenance of high-quality, diverse datasets, which significantly enhance predictive
Externí odkaz:
http://arxiv.org/abs/2409.12289