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Jac Fredo Agastinose Ronickom

Showing results (1-10 of 24) with videos related to

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IEEE Transactions on Computational Biology and Bioinformatics|January 28, 2026
Artificial Intelligence Driven Virtual Screening and Molecular Docking Approaches Identified LIFR, BTG2, EPHX2, and PAK3 as Targets and BI-2536, AP-24534, and AZ-628 as Repurposed Drugs for PDACPragya, Jac Fredo Agastinose Ronickom
International Journal of Neural Systems|March 21, 2024
Optimal Electrodermal Activity Segment for Enhanced Emotion Recognition Using Spectrogram-Based Feature Extraction and Machine LearningSriram Kumar P, Jac Fredo Agastinose Ronickom
Studies in Health Technology and Informatics|May 23, 2026
Identification of Reliable Biomarkers for ALS Through Machine Learning ApproachRenu Yadav, Pragya Pragya, Jac Fredo Agastinose Ronickom
Studies in Health Technology and Informatics|May 23, 2026
Identification of Cervical Cancer Biomarkers Using Gene Co-Expression Networks and Machine Learning MethodsPraveen Kumar Govarthan, Jac Fredo Agastinose Ronickom, Ramakrishnan Swaminathan
Studies in Health Technology and Informatics|May 23, 2026
Identification of Potential Biomarkers in ASD Integrating RNA Seq Data and Machine Learning ApproachesKm Jaya Devi, Pragya Pragya, Jac Fredo Agastinose Ronickom
Studies in Health Technology and Informatics|October 23, 2023
Age-Specific Diagnostic Classification of ASD Using Deep Learning ApproachesVaibhav Jain, Sandeep Singh Sengar, Jac Fredo Agastinose Ronickom
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Automated Autism Spectrum Disorder Diagnosis using Graph Metrics from Diffusion Tensor Imaging and Machine LearningRavi Ratnaik, Sriram Kumar P, Jac Fredo Agastinose Ronickom
ACS Omega|April 13, 2026
Pharmacokinetic Prediction of Repurposed Drugs for PDAC Using Artificial IntelligencePragya Pragya, Shashwat Singh, Bhuvaneshwari Balasubramaniam, et al.
Studies in Health Technology and Informatics|June 30, 2023
Diagnostic Classification of ASD Using Fractal Functional Connectivity of fMRI and Logistic RegressionChetan Rakshe, Suja Kunneth, Soumya Sundaram, et al.
Studies in Health Technology and Informatics|June 30, 2023
Diagnostic Classification of ASD Improves with Structural Connectivity of DTI and Logistic RegressionRavi Ratnaik, Chetan Rakshe, Manoj Kumar, et al.
Pageof 3

Showing results (1-10 of 24) with videos related to

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IEEE Transactions on Computational Biology and Bioinformatics|January 28, 2026
Artificial Intelligence Driven Virtual Screening and Molecular Docking Approaches Identified LIFR, BTG2, EPHX2, and PAK3 as Targets and BI-2536, AP-24534, and AZ-628 as Repurposed Drugs for PDACPragya, Jac Fredo Agastinose Ronickom
International Journal of Neural Systems|March 21, 2024
Optimal Electrodermal Activity Segment for Enhanced Emotion Recognition Using Spectrogram-Based Feature Extraction and Machine LearningSriram Kumar P, Jac Fredo Agastinose Ronickom
Studies in Health Technology and Informatics|May 23, 2026
Identification of Reliable Biomarkers for ALS Through Machine Learning ApproachRenu Yadav, Pragya Pragya, Jac Fredo Agastinose Ronickom
Studies in Health Technology and Informatics|May 23, 2026
Identification of Cervical Cancer Biomarkers Using Gene Co-Expression Networks and Machine Learning MethodsPraveen Kumar Govarthan, Jac Fredo Agastinose Ronickom, Ramakrishnan Swaminathan
Studies in Health Technology and Informatics|May 23, 2026
Identification of Potential Biomarkers in ASD Integrating RNA Seq Data and Machine Learning ApproachesKm Jaya Devi, Pragya Pragya, Jac Fredo Agastinose Ronickom
Studies in Health Technology and Informatics|October 23, 2023
Age-Specific Diagnostic Classification of ASD Using Deep Learning ApproachesVaibhav Jain, Sandeep Singh Sengar, Jac Fredo Agastinose Ronickom
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
Automated Autism Spectrum Disorder Diagnosis using Graph Metrics from Diffusion Tensor Imaging and Machine LearningRavi Ratnaik, Sriram Kumar P, Jac Fredo Agastinose Ronickom
ACS Omega|April 13, 2026
Pharmacokinetic Prediction of Repurposed Drugs for PDAC Using Artificial IntelligencePragya Pragya, Shashwat Singh, Bhuvaneshwari Balasubramaniam, et al.
Studies in Health Technology and Informatics|June 30, 2023
Diagnostic Classification of ASD Using Fractal Functional Connectivity of fMRI and Logistic RegressionChetan Rakshe, Suja Kunneth, Soumya Sundaram, et al.
Studies in Health Technology and Informatics|June 30, 2023
Diagnostic Classification of ASD Improves with Structural Connectivity of DTI and Logistic RegressionRavi Ratnaik, Chetan Rakshe, Manoj Kumar, et al.
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