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Machine learning SNP based prediction for precision medicine
In the past decade, precision genomics based medicine has emerged to provide tailored
and effective healthcare for patients depending upon their genetic features. Genome Wide …
and effective healthcare for patients depending upon their genetic features. Genome Wide …
Nutrition during childhood cancer treatment: current understanding and a path for future research
L Joffe, EJ Ladas - The Lancet Child & Adolescent Health, 2020 - thelancet.com
Proper nutritional status during cancer therapy has been recognised as being integral to a
variety of health outcome measures, including overall survival, treatment tolerance, and …
variety of health outcome measures, including overall survival, treatment tolerance, and …
[HTML][HTML] Individual longitudinal changes in DNA-methylome identify signatures of early-life adversity and correlate with later outcome
Adverse early-life experiences (ELA) affect a majority of the world's children. Whereas the
enduring impact of ELA on cognitive and emotional health is established, there are no tools …
enduring impact of ELA on cognitive and emotional health is established, there are no tools …
Predicting obesity and smoking using medication data: A machine‐learning approach
Purpose Administrative health datasets are widely used in public health research but often
lack information about common confounders. We aimed to develop and validate machine …
lack information about common confounders. We aimed to develop and validate machine …
Interaction of genetic and environmental factors for body fat mass control: observational study for lifestyle modification and genoty**
Previous studies suggested that genetic, environmental factors and their interactions could
affect body fat mass (BFM). However, studies describing these effects were performed at a …
affect body fat mass (BFM). However, studies describing these effects were performed at a …
Artificial intelligence-enabled obesity prediction: A systematic review of cohort data analysis
Background Obesity, now the fifth leading global cause of death, has seen a dramatic rise in
prevalence over the last forty years. It significantly increases the risk of diseases such as …
prevalence over the last forty years. It significantly increases the risk of diseases such as …
Comprehensive and systematic analysis of gene expression patterns associated with body mass index
Both genetic and environmental factors are suggested to influence overweight and obesity
risks. Although individual loci and genes have been frequently shown to be associated with …
risks. Although individual loci and genes have been frequently shown to be associated with …
Deep Learning captures the effect of epistasis in multifactorial diseases
V Perelygin, A Kamelin, N Syzrantsev… - Frontiers in …, 2025 - frontiersin.org
Background Polygenic risk score (PRS) prediction is widely used to assess the risk of
diagnosis and progression of many diseases. Routinely, the weights of individual SNPs are …
diagnosis and progression of many diseases. Routinely, the weights of individual SNPs are …
Data integration between clinical research and patient care: A framework for context-depending data sharing and in silico predictions
K Hoffmann, A Pelz, E Karg, A Gottschalk… - PLOS Digital …, 2023 - journals.plos.org
The transfer of new insights from basic or clinical research into clinical routine is usually a
lengthy and time-consuming process. Conversely, there are still many barriers to directly …
lengthy and time-consuming process. Conversely, there are still many barriers to directly …
Within-subject changes in methylome profile identify individual signatures of early-life adversity, with a potential to predict neuropsychiatric outcome
Background. Adverse early-life experiences (ELA), including poverty, trauma and neglect,
affect a majority of the world's children. Whereas the impact of ELA on cognitive and …
affect a majority of the world's children. Whereas the impact of ELA on cognitive and …