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Pietro Lio

Showing results (41-50 of 75) with videos related to

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BMC Medical Informatics and Decision Making|December 13, 2025
Assessment of transformer-based AI in clinical oncologyLim Weng Seong, Pietro Lio, Nur Aishah Taib, et al.
Nature Communications|December 13, 2017
Single-cell RNA-sequencing uncovers transcriptional states and fate decisions in haematopoiesisEmmanouil I Athanasiadis, Jan G Botthof, Helena Andres, et al.
BMC Medical Informatics and Decision Making|March 24, 2019
Predicting factors for survival of breast cancer patients using machine learning techniquesMogana Darshini Ganggayah, Nur Aishah Taib, Yip Cheng Har, et al.
International Journal of Molecular Sciences|August 27, 2021
iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View FeaturesPhasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
IEEE Transactions on Medical Imaging|April 4, 2023
Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI ContrastJunwei Yang, Xiao-Xin Li, Feihong Liu, et al.
Pharmaceutics|January 21, 2022
SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino AcidsPhasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, et al.
IEEE Transactions on Neural Networks and Learning Systems|December 2, 2025
User Isolation Poisoning on Decentralized Federated Learning: An Adversarial Message-Passing Graph Neural Network ApproachKai Li, Yilei Liang, Pietro Lio, et al.
Briefings in Bioinformatics|May 10, 2021
Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistanceKexin Chen, Haoming Xu, Yiming Lei, et al.
Methods (San Diego, Calif.)|December 9, 2021
StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptidesPhasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Computers in Biology and Medicine|December 9, 2022
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learningPhasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, et al.
Pageof 8

Showing results (41-50 of 75) with videos related to

Sort By:
Pageof 8
BMC Medical Informatics and Decision Making|December 13, 2025
Assessment of transformer-based AI in clinical oncologyLim Weng Seong, Pietro Lio, Nur Aishah Taib, et al.
Nature Communications|December 13, 2017
Single-cell RNA-sequencing uncovers transcriptional states and fate decisions in haematopoiesisEmmanouil I Athanasiadis, Jan G Botthof, Helena Andres, et al.
BMC Medical Informatics and Decision Making|March 24, 2019
Predicting factors for survival of breast cancer patients using machine learning techniquesMogana Darshini Ganggayah, Nur Aishah Taib, Yip Cheng Har, et al.
International Journal of Molecular Sciences|August 27, 2021
iBitter-Fuse: A Novel Sequence-Based Bitter Peptide Predictor by Fusing Multi-View FeaturesPhasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
IEEE Transactions on Medical Imaging|April 4, 2023
Fast Multi-Contrast MRI Acquisition by Optimal Sampling of Information Complementary to Pre-Acquired MRI ContrastJunwei Yang, Xiao-Xin Li, Feihong Liu, et al.
Pharmaceutics|January 21, 2022
SCMTHP: A New Approach for Identifying and Characterizing of Tumor-Homing Peptides Using Estimated Propensity Scores of Amino AcidsPhasit Charoenkwan, Wararat Chiangjong, Chanin Nantasenamat, et al.
IEEE Transactions on Neural Networks and Learning Systems|December 2, 2025
User Isolation Poisoning on Decentralized Federated Learning: An Adversarial Message-Passing Graph Neural Network ApproachKai Li, Yilei Liang, Pietro Lio, et al.
Briefings in Bioinformatics|May 10, 2021
Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistanceKexin Chen, Haoming Xu, Yiming Lei, et al.
Methods (San Diego, Calif.)|December 9, 2021
StackDPPIV: A novel computational approach for accurate prediction of dipeptidyl peptidase IV (DPP-IV) inhibitory peptidesPhasit Charoenkwan, Chanin Nantasenamat, Md Mehedi Hasan, et al.
Computers in Biology and Medicine|December 9, 2022
PSRTTCA: A new approach for improving the prediction and characterization of tumor T cell antigens using propensity score representation learningPhasit Charoenkwan, Chonlatip Pipattanaboon, Chanin Nantasenamat, et al.
Pageof 8