Rick A. Friedman

GWAS and multimodal transcriptomic profiling of human otolithic organs characterize the genetic architecture of balance in the elderly

The paper identifies genetic factors associated with balance in the elderly through GWAS and multimodal transcriptomic analysis of otolithic organs.

An Open-Source Deep Learning-Based Toolbox forAutomated Auditory Brainstem Response Analyses (ABRA)

ABRA automates ABR waveform analysis using deep learning, achieving performance comparable to human experts while improving reproducibility and reducing analysis time.

MDAtlas: A Multiomics Meniere Disease Database of Genes and Cells

MDAtlas provides an open-access multiomics database for Meniere Disease, integrating genomic, transcriptomic, and epigenomic data to support research on disease mechanisms and biomarkers.

VASCilia (Vision Analysis StereoCilia): A Napari Plugin for Deep Learning-Based 3D Analysis of Cochlear Hair Cell Stereocilia Bundles

VASCilia is a Napari plugin that uses deep learning to analyze 3D cochlear hair cell stereocilia bundles, revealing biological insights about actin content and bundle organization.

Genome-wide association study for age-related hearing loss in CFW mice

This study identifies genetic loci associated with age-related hearing loss in CFW mice using genome-wide association analysis and functional validation.

Altered Fhod3 Expression Involved in Progressive High-Frequency Hearing Loss via Dysregulation of Actin Polymerization Stoichiometry in The Cuticular Plate

This study identifies Fhod3 as a key regulator of actin dynamics in the cuticular plate, linking its dysregulation to progressive high-frequency hearing loss in mice.

Cochlear transcriptome analysis of an outbred mouse population (CFW)

The paper analyzes the cochlear transcriptome of an outbred mouse population to identify cell-type specific changes associated with age-related hearing loss.