Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Inder M. Singh"'
Autor:
Jaskaran Singh, Narendra N. Khanna, Ranjeet K. Rout, Narpinder Singh, John R. Laird, Inder M. Singh, Mannudeep K. Kalra, Laura E. Mantella, Amer M. Johri, Esma R. Isenovic, Mostafa M. Fouda, Luca Saba, Mostafa Fatemi, Jasjit S. Suri
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract Due to the intricate relationship between the small non-coding ribonucleic acid (miRNA) sequences, the classification of miRNA species, namely Human, Gorilla, Rat, and Mouse is challenging. Previous methods are not robust and accurate. In th
Externí odkaz:
https://doaj.org/article/4580c5989c9345e59ca92e7adc0fe39d
Autor:
Manasvi Singh, Ashish Kumar, Narendra N. Khanna, John R. Laird, Andrew Nicolaides, Gavino Faa, Amer M. Johri, Laura E. Mantella, Jose Fernandes E. Fernandes, Jagjit S. Teji, Narpinder Singh, Mostafa M. Fouda, Rajesh Singh, Aditya Sharma, George Kitas, Vijay Rathore, Inder M. Singh, Kalyan Tadepalli, Mustafa Al-Maini, Esma R. Isenovic, Seemant Chaturvedi, Deepak Garg, Kosmas I. Paraskevas, Dimitri P. Mikhailidis, Vijay Viswanathan, Manudeep K. Kalra, Zoltan Ruzsa, Luca Saba, Andrew F. Laine, Deepak L. Bhatt, Jasjit S. Suri
Publikováno v:
EClinicalMedicine, Vol 73, Iss , Pp 102660- (2024)
Summary: Background: The field of precision medicine endeavors to transform the healthcare industry by advancing individualised strategies for diagnosis, treatment modalities, and predictive assessments. This is achieved by utilizing extensive multid
Externí odkaz:
https://doaj.org/article/c4edbf27386f423188216b7b2cb61390
Autor:
Mrinalini Bhagawati, Sudip Paul, Laura Mantella, Amer M. Johri, Siddharth Gupta, John R. Laird, Inder M. Singh, Narendra N. Khanna, Mustafa Al-Maini, Esma R. Isenovic, Ekta Tiwari, Rajesh Singh, Andrew Nicolaides, Luca Saba, Vinod Anand, Jasjit S. Suri
Publikováno v:
Diagnostics, Vol 14, Iss 17, p 1894 (2024)
Background: The risk of cardiovascular disease (CVD) has traditionally been predicted via the assessment of carotid plaques. In the proposed study, AtheroEdge™ 3.0HDL (AtheroPoint™, Roseville, CA, USA) was designed to demonstrate how well the fea
Externí odkaz:
https://doaj.org/article/ecc1fc4723a04c1ca97e395668c79b38
Autor:
Prabhav Sanga, Jaskaran Singh, Arun Kumar Dubey, Narendra N. Khanna, John R. Laird, Gavino Faa, Inder M. Singh, Georgios Tsoulfas, Mannudeep K. Kalra, Jagjit S. Teji, Mustafa Al-Maini, Vijay Rathore, Vikas Agarwal, Puneet Ahluwalia, Mostafa M. Fouda, Luca Saba, Jasjit S. Suri
Publikováno v:
Diagnostics, Vol 13, Iss 19, p 3159 (2023)
Skin lesion classification plays a crucial role in dermatology, aiding in the early detection, diagnosis, and management of life-threatening malignant lesions. However, standalone transfer learning (TL) models failed to deliver optimal performance. I
Externí odkaz:
https://doaj.org/article/0f0e7c6824bc45a48b9574d53498fd7f
Autor:
Arun Kumar Dubey, Gian Luca Chabert, Alessandro Carriero, Alessio Pasche, Pietro S. C. Danna, Sushant Agarwal, Lopamudra Mohanty, Nillmani, Neeraj Sharma, Sarita Yadav, Achin Jain, Ashish Kumar, Mannudeep K. Kalra, David W. Sobel, John R. Laird, Inder M. Singh, Narpinder Singh, George Tsoulfas, Mostafa M. Fouda, Azra Alizad, George D. Kitas, Narendra N. Khanna, Klaudija Viskovic, Melita Kukuljan, Mustafa Al-Maini, Ayman El-Baz, Luca Saba, Jasjit S. Suri
Publikováno v:
Diagnostics, Vol 13, Iss 11, p 1954 (2023)
Background and motivation: Lung computed tomography (CT) techniques are high-resolution and are well adopted in the intensive care unit (ICU) for COVID-19 disease control classification. Most artificial intelligence (AI) systems do not undergo genera
Externí odkaz:
https://doaj.org/article/dcde398500354e0cbd2b362a057e3c09
Autor:
Jasjit S. Suri, Anudeep Puvvula, Misha Majhail, Mainak Biswas, Ankush D. Jamthikar, Luca Saba, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Saurabh Srivastava, Paramjit S. Chadha, Harman S. Suri, Amer M. Johri, Vijay Nambi, J Miguel Sanches, Narendra N. Khanna, Klaudija Viskovic, Sophie Mavrogeni, John R. Laird, Arindam Bit, Gyan Pareek, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Raghu Kolluri, Jagjit Teji, Michele Porcu, Mustafa Al-Maini, Ann Agbakoba, Meyypan Sockalingam, Ajit Sexena, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Vijay Viswanathan, Subbaram Naidu, Deepak L. Bhatt
Publikováno v:
Reviews in Cardiovascular Medicine, Vol 21, Iss 4, Pp 541-560 (2020)
Artificial Intelligence (AI), in general, refers to the machines (or computers) that mimic "cognitive" functions that we associate with our mind, such as "learning" and "solving problem". New biomarkers derived from medical imaging are being discover
Externí odkaz:
https://doaj.org/article/38aa60518c7c4c6da9aaaecc03fb56ca
Autor:
Narendra N. Khanna, Mahesh A. Maindarkar, Vijay Viswanathan, Jose Fernandes E Fernandes, Sudip Paul, Mrinalini Bhagawati, Puneet Ahluwalia, Zoltan Ruzsa, Aditya Sharma, Raghu Kolluri, Inder M. Singh, John R. Laird, Mostafa Fatemi, Azra Alizad, Luca Saba, Vikas Agarwal, Aman Sharma, Jagjit S. Teji, Mustafa Al-Maini, Vijay Rathore, Subbaram Naidu, Kiera Liblik, Amer M. Johri, Monika Turk, Lopamudra Mohanty, David W. Sobel, Martin Miner, Klaudija Viskovic, George Tsoulfas, Athanasios D. Protogerou, George D. Kitas, Mostafa M. Fouda, Seemant Chaturvedi, Mannudeep K. Kalra, Jasjit S. Suri
Publikováno v:
Healthcare, Vol 10, Iss 12, p 2493 (2022)
Motivation: The price of medical treatment continues to rise due to (i) an increasing population; (ii) an aging human growth; (iii) disease prevalence; (iv) a rise in the frequency of patients that utilize health care services; and (v) increase in th
Externí odkaz:
https://doaj.org/article/74cbe9efc65441338035a74b32f9ff71
Autor:
Narendra N. Khanna, Mahesh Maindarkar, Anudeep Puvvula, Sudip Paul, Mrinalini Bhagawati, Puneet Ahluwalia, Zoltan Ruzsa, Aditya Sharma, Smiksha Munjral, Raghu Kolluri, Padukone R. Krishnan, Inder M. Singh, John R. Laird, Mostafa Fatemi, Azra Alizad, Surinder K. Dhanjil, Luca Saba, Antonella Balestrieri, Gavino Faa, Kosmas I. Paraskevas, Durga Prasanna Misra, Vikas Agarwal, Aman Sharma, Jagjit Teji, Mustafa Al-Maini, Andrew Nicolaides, Vijay Rathore, Subbaram Naidu, Kiera Liblik, Amer M. Johri, Monika Turk, David W. Sobel, Gyan Pareek, Martin Miner, Klaudija Viskovic, George Tsoulfas, Athanasios D. Protogerou, Sophie Mavrogeni, George D. Kitas, Mostafa M. Fouda, Manudeep K. Kalra, Jasjit S. Suri
Publikováno v:
Journal of Cardiovascular Development and Disease, Vol 9, Iss 8, p 268 (2022)
The SARS-CoV-2 virus has caused a pandemic, infecting nearly 80 million people worldwide, with mortality exceeding six million. The average survival span is just 14 days from the time the symptoms become aggressive. The present study delineates the d
Externí odkaz:
https://doaj.org/article/f32906afd3fd46e8962d35f02d1bc622
Autor:
Jasjit S. Suri, Mahesh A. Maindarkar, Sudip Paul, Puneet Ahluwalia, Mrinalini Bhagawati, Luca Saba, Gavino Faa, Sanjay Saxena, Inder M. Singh, Paramjit S. Chadha, Monika Turk, Amer Johri, Narendra N. Khanna, Klaudija Viskovic, Sofia Mavrogeni, John R. Laird, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanase D. Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Raghu Kolluri, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Meyypan Sockalingam, Ajit Saxena, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Padukode R. Krishnan, Tomaz Omerzu, Subbaram Naidu, Andrew Nicolaides, Kosmas I. Paraskevas, Mannudeep Kalra, Zoltán Ruzsa, Mostafa M. Fouda
Publikováno v:
Diagnostics, Vol 12, Iss 7, p 1543 (2022)
Background and Motivation: Parkinson’s disease (PD) is one of the most serious, non-curable, and expensive to treat. Recently, machine learning (ML) has shown to be able to predict cardiovascular/stroke risk in PD patients. The presence of COVID-19
Externí odkaz:
https://doaj.org/article/ddae48530030446d9a0d6bb48f5f9200
Autor:
Jasjit S. Suri, Sushant Agarwal, Gian Luca Chabert, Alessandro Carriero, Alessio Paschè, Pietro S. C. Danna, Luca Saba, Armin Mehmedović, Gavino Faa, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, Gyan Pareek, Martin Miner, David W. Sobel, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Athanasios D. Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Ferenc Nagy, Zoltan Ruzsa, Mostafa M. Fouda, Subbaram Naidu, Klaudija Viskovic, Mannudeep K. Kalra
Publikováno v:
Diagnostics, Vol 12, Iss 6, p 1482 (2022)
Background: The previous COVID-19 lung diagnosis system lacks both scientific validation and the role of explainable artificial intelligence (AI) for understanding lesion localization. This study presents a cloud-based explainable AI, the “COVLIAS
Externí odkaz:
https://doaj.org/article/724250641a304ca5bdab585ac56026fe