User profiles for Sira Sriswasdi

Sira Sriswasdi

Lecturer, Research Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok …
Verified email at chula.ac.th
Cited by 1603

[HTML][HTML] Federated learning for predicting clinical outcomes in patients with COVID-19

…, PMC e Silva, P Wang, S Xu, S Kawano, S Sriswasdi… - Nature medicine, 2021 - nature.com
Federated learning (FL) is a method used for training artificial intelligence models with data
from multiple sources while maintaining data anonymity, thus removing many barriers to data …

[HTML][HTML] Generalist species drive microbial dispersion and evolution

S Sriswasdi, C Yang, W Iwasaki - Nature communications, 2017 - nature.com
Microbes form fundamental bases of every Earth ecosystem. As their key survival strategies,
some microbes adapt to broad ranges of environments, while others specialize to certain …

Systematic discovery of ectopic pregnancy serum biomarkers using 3-D protein profiling coupled with label-free quantitation

LA Beer, HY Tang, S Sriswasdi… - Journal of proteome …, 2011 - ACS Publications
Ectopic pregnancy (EP) and normal intrauterine pregnancy (IUP) serum proteomes were
quantitatively compared to systematically identify candidate biomarkers. A 3-D biomarker …

[HTML][HTML] Identification of Daboia siamensis venome using integrated multi-omics data

T Saethang, P Somparn, S Payungporn, S Sriswasdi… - Scientific reports, 2022 - nature.com
Snakebite, classified by World Health Organization as a neglected tropical disease, causes
more than 100,000 deaths and 2 million injuries per year. Currently, available antivenoms do …

[HTML][HTML] Federated Learning used for predicting outcomes in SARS-COV-2 patients

…, P Wang, S Xu, S Kawano, S Sriswasdi… - Research …, 2021 - ncbi.nlm.nih.gov
‘Federated Learning’(FL) is a method to train Artificial Intelligence (AI) models with data from
multiple sources while maintaining anonymity of the data thus removing many barriers to …

[HTML][HTML] MHCSeqNet: a deep neural network model for universal MHC binding prediction

P Phloyphisut, N Pornputtapong, S Sriswasdi… - BMC …, 2019 - Springer
Background Immunotherapy is an emerging approach in cancer treatment that activates the
host immune system to destroy cancer cells expressing unique peptide signatures (…

[PDF][PDF] Epigenetic regulation of condensin-mediated genome organization during the cell cycle and upon DNA damage through histone H3 lysine 56 acetylation

A Tanaka, H Tanizawa, S Sriswasdi, O Iwasaki… - Molecular cell, 2012 - cell.com
Complex genome organizations participate in various nuclear processes including
transcription, DNA replication, and repair. However, the mechanisms that generate and regulate …

[HTML][HTML] Uncovering thousands of new peptides with sequence-mask-search hybrid de novo peptide sequencing framework

…, DW Speicher, E Chuangsuwanich, S Sriswasdi - Molecular & Cellular …, 2019 - ASBMB
Typical analyses of mass spectrometry data only identify amino acid sequences that exist in
reference databases. This restricts the possibility of discovering new peptides such as those …

Deficit schizophrenia is a discrete diagnostic category defined by neuro-immune and neurocognitive features: results of supervised machine learning

B Kanchanatawan, S Sriswasdi, S Thika… - Metabolic brain …, 2018 - Springer
Deficit schizophrenia is characterized by neurocognitive impairments and changes in the
patterning of IgA/IgM responses to plasma tryptophan catabolites (TRYCATs). In the current …

[HTML][HTML] An explainable self-attention deep neural network for detecting mild cognitive impairment using multi-input digital drawing tasks

…, S Teerapittayanon, S Sriswasdi… - Alzheimer's Research & …, 2022 - Springer
Background Mild cognitive impairment (MCI) is an early stage of cognitive decline which
could develop into dementia. An early detection of MCI is a crucial step for timely prevention …