Zobrazeno 1 - 10
of 181
pro vyhledávání: '"P S Pradeep"'
Publikováno v:
Journal of Pharmaceutical Research, Vol 20, Iss 3, Pp 9-17 (2021)
Externí odkaz:
https://doaj.org/article/191f46fd386645ce9d2266c00c752ad3
Autor:
Rathinasamy, Kamalkumar, Nettar, Jayarama, Kumar, Amit, Manchanda, Vishal, Vijayakumar, Arun, Kataria, Ayush, Manjunath, Venkateshprasanna, GS, Chidambaram, Sodhi, Jaskirat Singh, Shaikh, Shoeb, Khan, Wasim Akhtar, Singh, Prashant, Ige, Tanishq Dattatray, Tiwari, Vipin, Mondal, Rajab Ali, K, Harshini, Reka, S, Amancharla, Chetana, Rahman, Faiz ur, A, Harikrishnan P, Saha, Indraneel, Tiwary, Bhavya, Patel, Navin Shankar, S, Pradeep T, J, Balaji A, Priyapravas, Tarafdar, Mohammed Rafee
Enterprises grapple with the significant challenge of managing proprietary unstructured data, hindering efficient information retrieval. This has led to the emergence of AI-driven information retrieval solutions, designed to adeptly extract relevant
Externí odkaz:
http://arxiv.org/abs/2406.00010
Publikováno v:
Indian Journal of Dental Sciences, Vol 10, Iss 4, Pp 216-219 (2018)
Background: Angiogenesis is the most important contributor for tumor growth and metastasis. Vascular endothelial growth factor (VEGF) is thought to be one of the most contributing angiogenic factors and selective mitogen for vascular endothelial cell
Externí odkaz:
https://doaj.org/article/2558c9635a8e4a54803717712f5d1633
Autor:
Ward, Abbi, Li, Jimmy, Wang, Julie, Lakshminarasimhan, Sriram, Carrick, Ashley, Campana, Bilson, Hartford, Jay, S, Pradeep Kumar, Tiyasirichokchai, Tiya, Virmani, Sunny, Wong, Renee, Matias, Yossi, Corrado, Greg S., Webster, Dale R., Siegel, Dawn, Lin, Steven, Ko, Justin, Karthikesalingam, Alan, Semturs, Christopher, Rao, Pooja
Publikováno v:
JAMA Network Open (2024)
Background: Health datasets from clinical sources do not reflect the breadth and diversity of disease in the real world, impacting research, medical education, and artificial intelligence (AI) tool development. Dermatology is a suitable area to devel
Externí odkaz:
http://arxiv.org/abs/2402.18545
Autor:
Bhushankumar Nemade, Kiran Kishor Maharana, Vikram Kulkarni, Surajit mondal, G S Pradeep Ghantasala, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-30 (2024)
Abstract Having access to potable water is a fundamental right to well-being. Despite this, 3.4 million people die from diseases caused by water each year, and 1.1 billion people lack access to potable drinking water. Although industrialization, dura
Externí odkaz:
https://doaj.org/article/d2fa78ad5d4b48278d81f51b75d6231f
Autor:
G. S. Pradeep Ghantasala, Kumar Dilip, Pellakuri Vidyullatha, Sarah Allabun, Mohammed S. Alqahtani, Manal Othman, Mohamed Abbas, Ben Othman Soufiene
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Ovarian cancer is a formidable health challenge that demands accurate and timely survival predictions to guide clinical interventions. Existing methods, while commendable, suffer from limitations in harnessing the temporal evolution of patie
Externí odkaz:
https://doaj.org/article/cdcfbf905a704369b59d1970355d963e
Autor:
Therat Sonia, Banandur S. Pradeep, Gautham M. Sukumar, Anusha B. Shenoy, Banavaram A. Arvind, R. N. Srividya, Veeksha Rai, Upashana Medhi, Azad Devyani
Publikováno v:
Indian Journal of Social Psychiatry, Vol 40, Iss 3, Pp 228-235 (2024)
Introduction: Smokeless tobacco (SLT) use is an intermediate risk factor for various noncommunicable diseases. Identifying the risk factors associated with ever use of SLT is important when we focus on the prevention of its initiation. Objectives: To
Externí odkaz:
https://doaj.org/article/f03dfc4830b24da686703e0bd6f1d01d
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
Externí odkaz:
https://doaj.org/article/19dac8a0e7c94d1294dae19dbaa4bd2c
Autor:
Vinayak Visvanath, S Pradeep Nair
Publikováno v:
Indian Dermatology Online Journal, Vol 15, Iss 5, Pp 870-872 (2024)
Externí odkaz:
https://doaj.org/article/a27642e0ae1c44e5bf272a59d7dcbafe
Publikováno v:
IEEE Access, Vol 12, Pp 190102-190119 (2024)
Drones, or Unmanned Aerial Vehicles (UAVs), are a key part of many applications today such as e-commerce, agriculture, health care, and disaster management. The nodes of these networks are generally called Flying Ad-hoc Networks (FANETs), a subdomain
Externí odkaz:
https://doaj.org/article/6ca8e32b0bb84d2fb4119f0f5ec5aa80