User profiles for CHAYANIT PIYAWAJANUSORN

Chayanit Piyawajanusorn

Imperial College London
Verified email at imperial.ac.uk
Cited by 23

A gentle introduction to understanding preclinical data for cancer pharmaco-omic modeling

C Piyawajanusorn, LC Nguyen, G Ghislat… - Briefings in …, 2021 - academic.oup.com
A central goal of precision oncology is to administer an optimal drug treatment to each cancer
patient. A common preclinical approach to tackle this problem has been to characterize the …

[HTML][HTML] Large-Scale Machine Learning Analysis Reveals DNA Methylation and Gene Expression Response Signatures for Gemcitabine-Treated Pancreatic Cancer

A Ogunleye, C Piyawajanusorn, G Ghislat… - Health Data …, 2024 - spj.science.org
Background: Gemcitabine is a first-line chemotherapy for pancreatic adenocarcinoma (PAAD),
but many PAAD patients do not respond to gemcitabine-containing treatments. Being …

Interpretable machine learning models to predict the resistance of breast cancer patients to doxorubicin from their microRNA profiles

AZ Ogunleye, C Piyawajanusorn… - Advanced …, 2022 - Wiley Online Library
Doxorubicin is a common treatment for breast cancer. However, not all patients respond to
this drug, which sometimes causes life‐threatening side effects. Accurately anticipating …

PRIMA-1MET induces cellular senescence and apoptotic cell death in cholangiocarcinoma cells

C Piyawajanusorn, Y Kittirat… - Cancer Genomics & …, 2019 - cgp.iiarjournals.org
Background/Aim: This study examined the in vitro effects of the bile duct cancer drug PRIMA-1
MET on cholangiocarcinoma (CCA) cell growth to determine its potential usefulness in …

Cellular senescence protein p16INK4a of cancer-associated fibroblasts (CAFs) as a prognostic indicator for cholangiocarcinoma patients

C Piyawajanusorn, S Thongchot, Y Kittirat… - … Journal-ศรีนครินทร์ เวช …, 2018 - thaidj.org
Background and Objective: The tumor suppressor protein p16 INK4a (inhibitor of CDK4/6) is
a cyclin-dependent kinase inhibitor that plays an important role in cell cycle and cellular …

[HTML][HTML] Inactive-enriched machine-learning models exploiting patent data improve structure-based virtual screening for PDL1 dimerizers

P Gómez-Sacristán, S Simeon, VK Tran-Nguyen… - Journal of Advanced …, 2024 - Elsevier
… We are also thankful to Sachin Vishwakarma for assistance in tuning the DNN algorithm,
Muhammad Junaid for comments and Chayanit Piyawajanusorn for assistance in designing Fig…

[HTML][HTML] Urban-rural disparities for COVID-19: Evidence from 10 countries and areas in the Western Pacific

LJ Tao, R CookAlex, L DickensBorame - Health data science, 2021 - spj.science.org
Background. Limited evidence on the effectiveness of various types of social distancing
measures, from voluntary physical distancing to a community-wide quarantine, exists for the …

[HTML][HTML] Self-correcting recurrent neural network for acute kidney injury prediction in critical care

NK Yuan - Health Data Science, 2021 - spj.science.org
Background. In critical care, intensivists are required to continuously monitor high-dimensional
vital signs and lab measurements to detect and diagnose acute patient conditions, which …

[HTML][HTML] Machine learning highlights downtrending of COVID-19 patients with a distinct laboratory profile

S YangHe, F WestbladeLars, AD SteelPeter… - Health data …, 2021 - spj.science.org
Background. New York City (NYC) experienced an initial surge and gradual decline in the
number of SARS-CoV-2-confirmed cases in 2020. A change in the pattern of laboratory test …

[HTML][HTML] Association of PM 2.5 Reduction with Improved Kidney Function: A Nationwide Quasiexperiment among Chinese Adults

J KellyFrank - Health Data Science, 2022 - spj.science.org
Background. Increasing evidence from human studies has revealed the adverse impact of
ambient fine particles (PM 2.5) on health outcomes related to metabolic disorders and distant …