N. Ahmad Aziz

This study identifies factors influencing rehabilitation effectiveness after spinal cord injury, finding that voluntary engagement promotes recovery while forced training may reduce benefits.

This study identifies genetic variants associated with missing metabolite measurements in two population-based cohorts, suggesting missingness is partly genetic and relevant for clinical and epidemiological research.

This study examines how non-pathogenic CAG repeats in HTT, ATXN3, and CACNA1A genes affect sleep outcomes, finding sex- and depression-specific associations.

The paper introduces searchSTR, a tool for genome-wide STR somatic instability analysis, and finds associations between STR instability and age, sex, brain morphology, and neurodegeneration markers.

This paper identifies a novel genetic locus associated with olfactory dysfunction through a genome-wide association study meta-analysis and shows causal links to various health outcomes.

This study conducts a GWAS of human pineal gland volume, identifying 34 genome-wide significant loci and highlighting genes and pathways related to sleep, metabolism, and neurodegeneration.

This study identifies 54 genome-wide significant loci for enlarged perivascular spaces using GWAS across two cohorts, highlighting vascular and inflammatory pathways.

The paper evaluates a structured diagnostic framework for ultra-rare diseases, showing improved genetic diagnoses and novel gene-disease associations using exome sequencing and AI tools.

This paper introduces Swarm Learning, a decentralized machine learning approach for disease classification using transcriptomic data, demonstrating its effectiveness in developing classifiers for COVID-19, tuberculosis, and leukemias while preserving privacy.