Optimizing home visits through machine learning for preventing peritoneal dialysis-associated peritonitis: a proof of concept study and results from PDOPPS.

Autor: Sapsitthikul T; Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand., Pongpirul K; Center of Excellence in Preventive and Integrative Medicine and Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.; Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.; Department of Infection Biology & Microbiomes, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK., Kanjanabuch T; Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand.; Center of Excellence in Kidney Metabolic Disorders, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.; Peritoneal Dialysis Excellent Center, King Chulalongkorn Memorial Hospital, Bangkok, Thailand., Chuengsaman P; Banphaeo-Charoenkrung Peritoneal Dialysis Center, Banphaeo Dialysis Group, Banphaeo Hospital, Bangkok, Thailand., Punyabukkana P; Department of Computer Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand., Pratanwanich PN; Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.; Chula Intelligent and Complex Systems Research Unit, Chulalongkorn University, Bangkok, Thailand., Sawetpiyakul P; International School of Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand., Wannigama DL; Department of Infectious Diseases and Infection Control, Yamagata Prefectural Central Hospital, Yamagata, Japan.; Department of Microbiology, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, Thai Red Cross Society, Bangkok, Thailand.; Center of Excellence in Antimicrobial Resistance and Stewardship, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.; School of Medicine, Faculty of Health and Medical Sciences, The University of Western Australia, Nedlands, Western Australia, Australia.; Biofilms and Antimicrobial Resistance Consortium of ODA Receiving Countries, The University of Sheffield, Sheffield, UK.; Pathogen Hunter's Research Collaborative Team, Department of Infectious Diseases and Infection Control, Yamagata Prefectural Central Hospital, Yamagata, Japan., Susantitaphong P; Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand.; Center of Excellence for Metabolic Bone Disease in CKD Patients, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand., Townamchai N; Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand., Avihingsanon Y; Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand., Perl J; St. Michael's Hospital, Toronto, ON, Canada., Johnson DW; Department of Kidney and Transplant Services, Princess Alexandra Hospital, Woolloongabba, Brisbane, Queensland, Australia.; Australasian Kidney Trials Network, University of Queensland, Brisbane, Australia.; Translational Research Institute, Brisbane, Australia., Pecoits-Filho R; Arbor Research Collaborative for Health, Ann Arbor, MI, USA., Eiam-Ong S; Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand., Tungsanga K; Division of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand., Sriratanaban J; Center of Excellence in Preventive and Integrative Medicine and Department of Preventive and Social Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.

Publikováno v: Clinical kidney journal [Clin Kidney J] 2024 Apr 30; Vol. 17 (6), pp. sfae136. Date of Electronic Publication: 2024 Apr 30 (Print Publication: 2024).

Detection of m6A from direct RNA sequencing using a multiple instance learning framework.

Autor: Hendra C; Institute of Data Science, National University of Singapore, Singapore, Singapore.; Genome Institute of Singapore, A*STAR, Singapore, Singapore.; Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore., Pratanwanich PN; Genome Institute of Singapore, A*STAR, Singapore, Singapore.; Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Chulalongkorn, Thailand.; Chula Intelligent and Complex Systems Research Unit, Chulalongkorn University, Chulalongkorn, Thailand., Wan YK; Genome Institute of Singapore, A*STAR, Singapore, Singapore.; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore., Goh WSS; Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, China., Thiery A; Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore. a.h.thiery@nus.edu.sg., Göke J; Genome Institute of Singapore, A*STAR, Singapore, Singapore. gokej@gis.a-star.edu.sg.; Department of Statistics and Data Science, National University of Singapore, Singapore, Singapore. gokej@gis.a-star.edu.sg.; National Cancer Center of Singapore, Singapore, Singapore. gokej@gis.a-star.edu.sg.

Publikováno v: Nature methods [Nat Methods] 2022 Dec; Vol. 19 (12), pp. 1590-1598. Date of Electronic Publication: 2022 Nov 10.

Beyond sequencing: machine learning algorithms extract biology hidden in Nanopore signal data.

Autor: Wan YK; Laboratory of Computational Transcriptomics, Genome Institute of Singapore, Singapore 138672; Yong Loo Lin School of Medicine, National University of Singapore, Singapore., Hendra C; Institute of Data Science, National University of Singapore, Singapore; Laboratory of Computational Transcriptomics, Genome Institute of Singapore, Singapore 138672., Pratanwanich PN; Laboratory of Computational Transcriptomics, Genome Institute of Singapore, Singapore 138672; Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand; Chula Intelligent and Complex Systems Research Unit, Chulalongkorn University, Bangkok, Thailand., Göke J; Laboratory of Computational Transcriptomics, Genome Institute of Singapore, Singapore 138672; National Cancer Centre Singapore, Singapore. Electronic address: gokej@gis.a-star.edu.sg.

Publikováno v: Trends in genetics : TIG [Trends Genet] 2022 Mar; Vol. 38 (3), pp. 246-257. Date of Electronic Publication: 2021 Oct 25.

Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore.

Autor: Pratanwanich PN; Genome Institute of Singapore, A*STAR, Singapore, Singapore. naruemon.p@chula.ac.th.; Department of Mathematics and Computer Science, Faculty of Science, Chulalongkorn University, Bangkok, Thailand. naruemon.p@chula.ac.th.; Chula Intelligent and Complex Systems Research Unit, Chulalongkorn University, Bangkok, Thailand. naruemon.p@chula.ac.th., Yao F; Genome Institute of Singapore, A*STAR, Singapore, Singapore., Chen Y; Genome Institute of Singapore, A*STAR, Singapore, Singapore., Koh CWQ; Genome Institute of Singapore, A*STAR, Singapore, Singapore., Wan YK; Genome Institute of Singapore, A*STAR, Singapore, Singapore., Hendra C; Genome Institute of Singapore, A*STAR, Singapore, Singapore.; Institute of Data Science, National University of Singapore, Singapore, Singapore., Poon P; Genome Institute of Singapore, A*STAR, Singapore, Singapore., Goh YT; Genome Institute of Singapore, A*STAR, Singapore, Singapore., Yap PML; Genome Institute of Singapore, A*STAR, Singapore, Singapore., Chooi JY; Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore., Chng WJ; Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.; NUS Center for Cancer Research and Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.; Department of Haematology-Oncology, National University Cancer Institute, National University Health System, Singapore, Singapore., Ng SB; Genome Institute of Singapore, A*STAR, Singapore, Singapore., Thiery A; Department of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore., Goh WSS; Genome Institute of Singapore, A*STAR, Singapore, Singapore. shogoh@szbl.ac.cn.; Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen, China. shogoh@szbl.ac.cn., Göke J; Genome Institute of Singapore, A*STAR, Singapore, Singapore. gokej@gis.a-star.edu.sg.; National Cancer Centre Singapore, Singapore, Singapore. gokej@gis.a-star.edu.sg.

Publikováno v: Nature biotechnology [Nat Biotechnol] 2021 Nov; Vol. 39 (11), pp. 1394-1402. Date of Electronic Publication: 2021 Jul 19.