Social Determinants of Health and Access to Allogeneic Hematopoietic Cell Transplantation for Acute Myeloid Leukemia.

Whether allogeneic hematopoietic cell transplant (allo-HCT) to treat acute myeloid leukemia (AML) is equitably accessible regardless of social determinants of health (SDOH) remains unknown. We examined associations of SDOH with access to allo-HCT and other outcomes. Patients presenting for treatment (n=692) at 13 AML treatment centers were prospectively recruited to a registered clinical trial (#NCT01929408).

Tinnitus, masked speech perception, and auditory event-related potentials in clinically normal-hearing adults.

Tinnitus can increase stress and anxiety and reduce quality of life. Compared to listeners with normal hearing and no tinnitus, listeners with tinnitus (with or without hearing loss) often have greater difficulty segregating competing speech. Previous studies have investigated neural correlates of tinnitus using the P3 component of event-related potentials (ERPs).

Audiometry results in adult cochlear implant patients according to the electrode array.

Objective: To assess audiological outcome in adult (>18years) cochlear implant (CI) users with a straight (SA) or perimodiolar electrode array (PMA).

Material And Methods: Between 2017 and 2021, medical records of patients in 2 French centers who received a Cochlear™ SA (CI522/CI622) or PMA (CI532/CI632) CI were retrospectively analyzed according to the STROBE guidelines. Air-conduction pure-tone audiometry and disyllabic speech audiometry were recorded over a minimum 3-year follow-up.

Smartphone-Based Balance Assessment Using Machine Learning.

This study explores the potential of smartphones to objectively assess balance, which is crucial for the elderly and individuals recovering from various medical conditions. We propose an innovative methodology to estimate the Modified Clinical Test of Sensory Interaction on Balance (m-CTSIB) scores using the accelerometer sensor of a smartphone coupled with machine learning techniques. Our dataset consists of 28 participants, aged 21 to 88 years.

Mild Cognitive Impairment Detection through Gait Analysis and Standard Cameras.

Alzheimer's disease (AD) is a progressive neurodegenerative disease impacting older adults' cognitive and functional abilities. Early detection in the mild cognitive impairment (MCI) stage is vital for timely interventions to slow down the disease progression to AD. This study introduces a novel MCI detection that emphasizes accessibility and ease of use, utilizing a regular camera and pose estimation.