Latest AI and machine learning research in autism for healthcare professionals.
Cereal grains are fundamental to global food security and bioenergy production, yet the genetic and molecular bases of grain metabolic diversity remain unresolved. Sorghum, a climate-resilient C4 grass with exceptional tolerance to heat and drought stress, provides an effective system for metabolic genomics. Here, we integrated large-scale untargeted metabolomic profiling, population genomics, and...
Cells have evolved to sense a wide range of input combinations and integrate those signals through signaling pathways to produce context-specific responses, such as differentiation, cell-type specification, and patterning. To replicate this information-processing capacity, synthetic biology has developed large-scale circuitry inspired by the fundamental principles of computer science. Within this ...
Drosophila melanogaster provides a model system to examine how environmental stress interacts with sex to induce changes in brain function and behavio...
Placebo analgesia is a well-established medical phenomenon with overlapping neural representations between humans and rodents, but the genetic contrib...
Autism Spectrum Disorder (ASD) is a developmental disorder characterized by heterogeneity in social and emotional responses, language, and behavior. A...
Accurate selection of favourable crop genotypes has motivated the exploration of diverse prediction algorithms for crop breeding applications. One gen...
Craniofacial malformation (CFM) is a congenital defect encompassing a wide range of phenotypic presentations and is largely driven by genetics. Despit...
The hippocampus contains neurons whose firing correlates with an animal’s location and orientation in space. Collectively, these neurons are held to s...
The CACNA1C gene encodes the CaV1.2 L-type voltage-gated calcium channel, which plays a crucial role in neuronal signaling. CACNA1C is a risk gene for...
The communication between the gut microbiome and the brain, known as the microbiome-gut-brain axis (MGBA), is emerging as a critical factor in neurolo...
Leaf appearance is a crucial plant phenotype. However, traditional methods for extracting this information are inefficient, limiting its full utilizat...
Schizophrenia (SCZ) is a neurodevelopmental disorder where both genetic and environmental risks converge during pregnancy. Recent studies have highlig...
Estimating the response of tumor cells to specific perturbations is crucial for identifying effective treatments that selectively target cancer cells ...
Inherited Retinal Diseases (IRDs) are the leading cause of blindness in young people in the UK. Despite significant improvements in genomics medicine,...
Rare diseases, including many rare genetic epilepsies and neurodevelopmental disorders, present significant challenges in timely diagnosis, treatment,...
Can machine learning be used to reliably and accurately predict 18-month developmental outcomes from neonatal brain MRI following perinatal hypoxic-is...
Unlike some health conditions that have been extensively delineated throughout the lifespan, many genetic conditions are largely described in pediatri...
Individuals homozygous for the Alpha-1 Antitrypsin (AAT) Z allele (Pi*ZZ) exhibit heterogeneity in COPD risk. COPD occurrence in non-smokers with AAT ...
To determine whether historical behavior data can predict the occurrence of high-risk behavioral or seizure events in individuals with profound Autism...
Frontotemporal lobar degeneration-TDP Type C (TDP-C) is a unique neurodegenerative disease that starts by attacking the anterior temporal lobe leading...