Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Mohammed S. Alqahtan"'
Autor:
Sofia Singh, Garima Shukla, Rahul Agrawal, Chetan Dhule, Sarah Allabun, Mohammed S. Alqahtani, Manal Othman, Mohamed Abbas, Ben Othman Soufiene
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)
Abstract Clinical biomedical applications of genomic technologies are extensive and provide possibilities to enhance healthcare covering the span of medical talents. Genome disorder prediction is an important issue in biomedical research. Genome diso
Externí odkaz:
https://doaj.org/article/ce55bc3d557f4761b56a845ea286c4e3
Autor:
Rahul Agrawal, Chetan Dhule, Garima Shukla, Sofia Singh, Urvashi Agrawal, Najah Alsubaie, Mohammed S. Alqahtani, Mohamed Abbas, Ben Othman Soufiene
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Biological communication system for neurological disorder patients is similar to the Brain Computer Interface in a way that it facilitates the connection to the outside world in real time. The interdisciplinary field of Electroencephalogram
Externí odkaz:
https://doaj.org/article/ba5eef2aafd64317ae3e585c9a13d394
Autor:
Faisal A. Althobaiti, MBBS, Mohammed S. Alqahtani, MD, Naif F. Alharbi, MD, Mohammed M. Alwadai, MD, Ahmad H. Alkhatib, MBBS, Muhannad A. Asiri, MD, Rayan I. Maghrabi, MBBS, Elaf A. Alnahari, MBBS, Ali H. Alqarni, MBBS, Saeed S. Alzahrani, MD
Publikováno v:
Journal of Taibah University Medical Sciences, Vol 19, Iss 5, Pp 1060-1066 (2024)
الملخص: أهداف البحث: السكتة الدماغية هي أحد الأسباب الرئيسية للوفاة وضعف الوظيفة الجسدية. أصبحت عملية استئصال الخثرة داخل الأوعية الدموي
Externí odkaz:
https://doaj.org/article/07ec8ae0413e4aeeb29b11c68a11b9c1
Autor:
Urvashi Agrawal, Narendra Bawane, Najah Alsubaie, Mohammed S. Alqahtani, Mohamed Abbas, Ben Othman Soufiene
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract A novel method for discovery of adulteration in edible oil is proposed based on concept of refractive index and electronic sensors. The research work focusses on two distinct methodologies like employing datasets and implementing a fumigatio
Externí odkaz:
https://doaj.org/article/f9e4317b9df047259bcdfe46b266aa60
Autor:
Pritam Chakraborty, Anjan Bandyopadhyay, Preeti Padma Sahu, Aniket Burman, Saurav Mallik, Najah Alsubaie, Mohamed Abbas, Mohammed S. Alqahtani, Ben Othman Soufiene
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-23 (2024)
Abstract Stroke prediction remains a critical area of research in healthcare, aiming to enhance early intervention and patient care strategies. This study investigates the efficacy of machine learning techniques, particularly principal component anal
Externí odkaz:
https://doaj.org/article/ad13fbd4562842c1ad6f140bd7a145c9
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:
Babu Santha Aswani, Mangala Hegde, Ravichandran Vishwa, Mohammed S. Alqahtani, Mohamed Abbas, Hassan Ali Almubarak, Gautam Sethi, Ajaikumar B. Kunnumakkara
Publikováno v:
Military Medical Research, Vol 11, Iss 1, Pp 1-39 (2024)
Abstract Nuclear receptors (NRs) function as crucial transcription factors in orchestrating essential functions within the realms of development, host defense, and homeostasis of body. NRs have garnered increased attention due to their potential as t
Externí odkaz:
https://doaj.org/article/fff136fccb7041f48f03d158c36f1e3d
Autor:
Rubi Khilari, Sohilkhan Chauhan, Mamta Tripathi, Rama Pande, Mohammed S. Alqahtani, Rabbani Syed, Mudassar Shahid, Devashish Das, Avijit Sarkar
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Hydroxamic acids represent a group of weak organic acids, both naturally occurring and synthetically derived, characterized by the general formula RC(= O)N(R’OH). In this study, we investigated the binding behavior of N-m-tolyl-4-chlorophe
Externí odkaz:
https://doaj.org/article/f58c4fd252ea4ed8a9db0129e03c3a0c
Autor:
Rudresh Pillai, Neha Sharma, Sheifali Gupta, Deepali Gupta, Sapna Juneja, Saurav Malik, Hong Qin, Mohammed S. Alqahtani, Amel Ksibi
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Skin cancer is a widespread and perilous disease that necessitates prompt and precise detection for successful treatment. This research introduces a thorough method for identifying skin lesions by utilizing sophisticated deep learning (DL) techniques
Externí odkaz:
https://doaj.org/article/1266d012bedc4da3aaf87e09f7a8f735
Autor:
J. Satheesh Kumar, V. Vinoth Kumar, T. R. Mahesh, Mohammed S. Alqahtani, P. Prabhavathy, K. Manikandan, Suresh Guluwadi
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-18 (2024)
Abstract Purpose To detect the Marchiafava Bignami Disease (MBD) using a distinct deep learning technique. Background Advanced deep learning methods are becoming more crucial in contemporary medical diagnostics, particularly for detecting intricate a
Externí odkaz:
https://doaj.org/article/b284cce81f6a4dc18dd491b635407094