Neurology

Autism

Latest AI and machine learning research in autism for healthcare professionals.

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A quantitative characterization of the heterogeneous response of glioblastoma U-87 MG cell line to temozolomide.

Most cancers are genetically and phenotypically heterogeneous. This includes subpopulations of cells...

ASiDentify (ASiD): a machine learning model to predict new autism spectrum disorder risk genes.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that affects nearly 3% of children a...

The Role of Artificial Intelligence in Identifying Gene Variants and Improving Diagnosis.

Neurofibromatosis type 1 (NF1) is an autosomal dominant disorder caused by mutations in the gene, t...

Artificial intelligence-driven microsatellite instability profiling reveals distinctive genetic features in patients with lung cancer.

BACKGROUND: Microsatellite instability (MSI) has emerged as a predictive biomarker for immunotherapy...

Optimizing Treatment: The Role of Pharmacology, Genomics, and AI in Improving Patient Outcomes.

Recent advances in pharmacology are revolutionizing drug discovery and treatment strategies through ...

Exploring genetic and immune cell dynamics in systemic lupus erythematosus patients with Epstein-Barr virus infection via machine learning.

OBJECTIVES: EBV is a widespread virus implicated in various diseases, including SLE. However, the sp...

The Pepper Robot in Healthcare: A Scoping Review.

Humanoid robots are increasingly being used in a number of domains. This paper focuses on reviewing ...

Generative AI and the profession of genetic counseling.

The development of artificial intelligence (AI) including generative large language models (LLMs) an...

A Framework for Comparison and Interpretation of Machine Learning Classifiers to Predict Autism on the ABIDE Dataset.

Autism is a neurodevelopmental condition affecting ~1% of the population. Recently, machine learning...

Rethinking GWAS: how lessons from genetic screens and artificial intelligence could reveal biological mechanisms.

MOTIVATION: Modern single-cell omics data are key to unraveling the complex mechanisms underlying ri...

[Machine learning-aided design of synthetic biological parts and circuits].

Synthetic biology is an emerging interdisciplinary field at the convergence of biology, engineering,...

Mapping intellectual structure and research hotspots of cancer studies in primary health care: A machine-learning-based analysis.

In the contemporary fight against cancer, primary health care (PHC) services hold a significant and ...

WheatGP, a genomic prediction method based on CNN and LSTM.

Wheat plays a crucial role in ensuring food security. However, its complex genetic structure and tra...

MUTATE: a human genetic atlas of multiorgan artificial intelligence endophenotypes using genome-wide association summary statistics.

Artificial intelligence (AI) has been increasingly integrated into imaging genetics to provide inter...

Forestwalk: A Machine Learning Workflow Brings New Insights Into Posture and Balance in Rodent Beam Walking.

The beam walk is widely used to study coordination and balance in rodents. While the task has etholo...

[Prophylactic surgery and genetic counselling: What impact of the artificial intelligence?].

In the area of cancer predisposition, certain situations may lead to the discussion of prophylactic ...

Machine Learning and Natural Language Processing to Improve Classification of Atrial Septal Defects in Electronic Health Records.

BACKGROUND: International Classification of Disease (ICD) codes can accurately identify patients wit...

Deep Learning-based Brain Age Prediction Using MRI to Identify Fetuses with Cerebral Ventriculomegaly.

Fetal ventriculomegaly (VM) and its severity and associated central nervous system (CNS) abnormaliti...

Autism Spectrum Disorder Detection Using Prominent Connectivity Features from Electroencephalography.

Autism Spectrum Disorder (ASD) is a disorder of brain growth with great variability whose clinical p...

Assessing the performance of generative artificial intelligence in retrieving information against manually curated genetic and genomic data.

Curated resources at centralized repositories provide high-value service to users by enhancing data ...

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