Results 131 to 140 of about 11,828,008 (230)
Recent advances in vasoactive intestinal peptide physiology and pathophysiology: focus on the gastrointestinal system. [PDF]
Vasoactive intestinal peptide (VIP), a gut peptide hormone originally reported as a vasodilator in 1970, has multiple physiological and pathological effects on development, growth, and the control of neuronal, epithelial, and endocrine cell functions ...
Akiba, Yasutada+2 more
core
The Prevention of Genetic Disease and Mental Retardation. [PDF]
Aubrey Milunsky
openalex +1 more source
The Future of Genetic Disease Studies: Assembling an Updated Multidisciplinary Toolbox
Swetha Ramadesikan+2 more
doaj +1 more source
Gene-associated Disease Discovery Powered by Large Language Models [PDF]
The intricate relationship between genetic variation and human diseases has been a focal point of medical research, evidenced by the identification of risk genes regarding specific diseases. The advent of advanced genome sequencing techniques has significantly improved the efficiency and cost-effectiveness of detecting these genetic markers, playing a ...
arxiv
How to develop smarter host mixtures to control plant disease? [PDF]
A looming challenge for agriculture is sustainable intensification of food production to feed the growing human population. Current chemical and genetic technologies used to manage plant diseases are highly vulnerable to pathogen evolution and are not sustainable.
arxiv
Gene Therapy for Human Genetic Disease? [PDF]
Elizabeth F. Neufeld, Charles C. Sweeley
openalex +1 more source
Distinguishing correlation from causation using genome-wide association studies [PDF]
Genome-wide association studies (GWAS) have emerged as a rich source of genetic clues into disease biology, and they have revealed strong genetic correlations among many diseases and traits. Some of these genetic correlations may reflect causal relationships.
arxiv
Genetics-Driven Personalized Disease Progression Model [PDF]
Modeling disease progression through multiple stages is critical for clinical decision-making for chronic diseases, e.g., cancer, diabetes, chronic kidney diseases, and so on. Existing approaches often model the disease progression as a uniform trajectory pattern at the population level. However, chronic diseases are highly heterogeneous and often have
arxiv