User profiles for CHAYANIT PIYAWAJANUSORN
Chayanit PiyawajanusornImperial 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 …
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
Background: Gemcitabine is a first-line chemotherapy for pancreatic adenocarcinoma (PAAD),
but many PAAD patients do not respond to gemcitabine-containing treatments. Being …
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 …
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 …
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
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 …
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…
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 …
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 …
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 …
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 …
ambient fine particles (PM 2.5) on health outcomes related to metabolic disorders and distant …