Zobrazeno 1 - 10
of 5 811
pro vyhledávání: '"Gowtham A"'
Autor:
Zeyu Liu, Gowtham Annarapu, Hamza O. Yazdani, Qinge Wang, Silvia Liu, Jian-Hua Luo, Yan-Ping Yu, Baoguo Ren, Matthew D. Neal, Satdarshan P. Monga, Roberto Ivan Mota Alvidrez
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e23561- (2024)
Diabetes mellitus (DM) poses a significant global health burden, with hyperglycemia being a primary contributor to complications and high morbidity associated with this disorder. Existing glucose management strategies have shown suboptimal effectiven
Externí odkaz:
https://doaj.org/article/d76306861df14a6f8f0550e9e6cdc1ac
Autor:
Elizabeth A. Gibson, Huichu Li, Victoria Fruh, Malaika Gabra, Gowtham Asokan, Anne Marie Z. Jukic, Donna D. Baird, Christine L. Curry, Tyler Fischer-Colbrie, Jukka-Pekka Onnela, Michelle A. Williams, Russ Hauser, Brent A. Coull, Shruthi Mahalingaiah
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-8 (2022)
Abstract COVID-19 vaccination may be associated with change in menstrual cycle length following vaccination. We estimated covariate-adjusted differences in mean cycle length (MCL), measured in days, between pre-vaccination cycles, vaccination cycles,
Externí odkaz:
https://doaj.org/article/debc7ac2ee1a4eb29a6d86cc38073a9a
Autor:
Sabrina M. Curtis, Marian Sielenkämper, Gowtham Arivanandhan, Duygu Dengiz, Zixiong Li, Justin Jetter, Lisa Hanke, Lars Bumke, Eckhard Quandt, Stephan Wulfinghoff, Manfred Kohl
Publikováno v:
International Journal of Smart and Nano Materials, Vol 13, Iss 2, Pp 293-314 (2022)
ABSTRACTThe martensitic phase transformation in Ti40.4Ni48Hf11.6 shape memory alloys is leveraged for bi-directional actuation with TiNiHf/SiO2/Si composites. The shape memory properties of magnetron sputtered Ti40.4Ni48Hf11.6 films annealed at 635°
Externí odkaz:
https://doaj.org/article/e9c68021e442469bae3ec9322970fbdb
Autor:
Bukas, Christina, Subramanian, Harshavardhan, See, Fenja, Steinchen, Carina, Ezhov, Ivan, Boosarpu, Gowtham, Asgharpour, Sara, Burgstaller, Gerald, Lehmann, Mareike, Kofler, Florian, Piraud, Marie
High-throughput image analysis in the biomedical domain has gained significant attention in recent years, driving advancements in drug discovery, disease prediction, and personalized medicine. Organoids, specifically, are an active area of research,
Externí odkaz:
http://arxiv.org/abs/2410.14612
Autor:
Murugesan, Gowtham Krishnan, McCrumb, Diana, Soni, Rahul, Kumar, Jithendra, Nuernberg, Leonard, Pei, Linmin, Wagner, Ulrike, Granger, Sutton, Fedorov, Andrey Y., Moore, Stephen, Van Oss, Jeff
AI in Medical Imaging project aims to enhance the National Cancer Institute's (NCI) Image Data Commons (IDC) by developing nnU-Net models and providing AI-assisted segmentations for cancer radiology images. We created high-quality, AI-annotated imagi
Externí odkaz:
http://arxiv.org/abs/2409.20342
Detecting and measuring confounding effects from data is a key challenge in causal inference. Existing methods frequently assume causal sufficiency, disregarding the presence of unobserved confounding variables. Causal sufficiency is both unrealistic
Externí odkaz:
http://arxiv.org/abs/2409.17840
Multimodal schizophrenia assessment systems have gained traction over the last few years. This work introduces a schizophrenia assessment system to discern between prominent symptom classes of schizophrenia and predict an overall schizophrenia severi
Externí odkaz:
http://arxiv.org/abs/2409.09733
Autor:
Chihyun Park, Jean R. Clemenceau, Anna Seballos, Sara Crawford, Rocio Lopez, Tyler Coy, Gowtham Atluri, Tae Hyun Hwang
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Abstract Opioid-related deaths have severely increased since 2000 in the United States. This crisis has been declared a public health emergency, and among the most affected states is Ohio. We used statewide vital statistic data from the Ohio Departme
Externí odkaz:
https://doaj.org/article/68af32402c3f45be9e3c3f14c5d194b3
Black hole perturbation theory on spherically symmetric backgrounds has been instrumental in establishing various aspects about the gravitational dynamics close to black holes, and continues to be an interesting avenue to confront current challenges
Externí odkaz:
http://arxiv.org/abs/2408.13557
Autor:
Vashishtha, Aniket, Kumar, Abhinav, Reddy, Abbavaram Gowtham, Balasubramanian, Vineeth N, Sharma, Amit
For text-based AI systems to interact in the real world, causal reasoning is an essential skill. Since interventional data is costly to generate, we study to what extent an agent can learn causal reasoning from passive data. Specifically, we consider
Externí odkaz:
http://arxiv.org/abs/2407.07612