Results 61 to 70 of about 5,512,004 (328)

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

open access: yesFEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan   +2 more
wiley   +1 more source

Murine Cep290 phenotypes are modified by genetic backgrounds and provide an impetus for investigating disease modifier alleles [version 1; referees: 2 approved]

open access: yesF1000Research, 2015
The study of primary cilia is of broad interest both in terms of disease pathogenesis and the fundamental biological role of these structures. Murine models of ciliopathies provide valuable tools for the study of these diseases.
Simon Ramsbottom   +2 more
doaj   +1 more source

The Birth of a New Department at MCV/VCU-Human Genetics [PDF]

open access: yes, 1975
In recognition of the central role of genetics in the health professions, the MCV/VCU School of Basic Sciences and Graduate Studies substantially enlarged its commitment to this discipline by creating a new Department of Human Genetics as of September 1,
Mamunes, Peter
core   +1 more source

Classification of Big Data with Application to Imaging Genetics

open access: yes, 2016
Big data applications, such as medical imaging and genetics, typically generate datasets that consist of few observations n on many more variables p, a scenario that we denote as p>>n.
Palsson, Frosti   +3 more
core   +1 more source

A prospective cohort study assessing clinical referral management & workforce allocation within a UK regional medical genetics service [PDF]

open access: yes, 2015
Ensuring patient access to genomic information in the face of increasing demand requires clinicians to develop innovative ways of working. This paper presents the first empirical prospective observational cohort study of UK multi-disciplinary genetic ...
A Norris   +38 more
core   +1 more source

The anabolic steroid stanozolol is a potent inhibitor of human MutT homolog 1

open access: yesFEBS Letters, EarlyView.
MutT homolog 1 (MTH1) is a member of the NUDIX superfamily of enzymes and is an anticancer drug target. We show that stanozolol (Stz), an anabolic steroid, is an unexpected nanomolar inhibitor of MTH1. The X‐ray crystal structure of the human MTH1–Stz complex reveals a unique binding scaffold that could be utilized for future inhibitor development ...
Emma Scaletti Hutchinson   +7 more
wiley   +1 more source

Identifying knowledge deficiencies in genetics education among medical students and interns in Saudi Arabia- A cross-sectional study

open access: yesBMC Medical Education
Background Understanding genetics is crucial for medical students, particularly in Saudi Arabia, where genetic disorders are prevalent owing to high rates of consanguineous marriages.
Abeer F. Zakariyah   +5 more
doaj   +1 more source

Rapid and inexpensive body fluid identification by RNA profiling-based multiplex High Resolution Melt (HRM) analysis [v1; ref status: indexed, http://f1000r.es/2hj]

open access: yesF1000Research, 2013
Positive identification of the nature of biological material present on evidentiary items can be crucial for understanding the circumstances surrounding a crime.
Erin K. Hanson, Jack Ballantyne
doaj   +1 more source

The Morphogenesis Of Evolutionary Developmental Biology [PDF]

open access: yes, 2003
The early studies of evolutionary developmental biology (Evo-Devo) come from several sources. Tributaries flowing into Evo-Devo came from such disciplines as embryology, developmental genetics, evolutionary biology, ecology, paleontology, systematics ...
Gilbert, Scott F.
core   +2 more sources

Genetic determinants of cortical structure (thickness, surface area and volumes) among disease free adults in the CHARGE Consortium [PDF]

open access: yes, 2019
Cortical thickness, surface area and volumes (MRI cortical measures) vary with age and cognitive function, and in neurological and psychiatric diseases.
Adams, H.   +98 more
core   +2 more sources

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