Accelerating Parkinson's Disease drug development with federated learning approaches.

Parkinson's Disease is a progressive neurodegenerative disorder afflicting almost 12 million people. Increased understanding of its complex and heterogenous disease pathology, etiology and symptom manifestations has resulted in the need to design, capture and interrogate substantial clinical datasets. Herein we advocate how advances in the deployment of artificial intelligence models for Federated Data Analysis and Federated Learning can help spearhead coordinated and sustainable approaches to address this grand challenge.

The impact of COVID-19 on routine child immunisation in South Africa.

Background: The COVID-19 pandemic disrupted immunisation programs worldwide, reversing gains that had brought vaccine-preventable diseases largely under control. This study explored the impact of COVID-19 on the uptake of routine child immunisation services in South Africa.

Methods: We conducted qualitative research using in-depth interviews with 51 purposively selected parents/caregivers of children below the age of five who missed or delayed one or more scheduled immunisation doses in 2020-2022 and with 12 healthcare providers who provided public immunisation services during the pandemic.

A dataset of Solicited Cough Sound for Tuberculosis Triage Testing.

Cough is a common and commonly ignored symptom of lung disease. Cough is often perceived as difficult to quantify, frequently self-limiting, and non-specific. However, cough has a central role in the clinical detection of many lung diseases including tuberculosis (TB), which remains the leading infectious disease killer worldwide.

Solicited Cough Sound Analysis for Tuberculosis Triage Testing: The CODA TB DREAM Challenge Dataset.

Cough is a common and commonly ignored symptom of lung disease. Cough is often perceived as difficult to quantify, frequently self-limiting, and non-specific. However, cough has a central role in the clinical detection of many lung diseases including tuberculosis (TB), which remains the leading infectious disease killer worldwide.

A basin-wide approach to dredged material management in New York/New Jersey Harbor.

In the last decade, an area of increasing estuarine research in the New York/New Jersey Harbor has been the identification of toxic contaminant sources, mapping of contaminant levels in water and sediments, and assessment of contaminant accumulation in biota. The accumulation of anthropogenic contamination in the harbor's sediments has occurred for centuries, primarily from land-based municipal and industrial sources. Contaminants from land-based sources introduced into surface waters rapidly become scavenged by suspended particles that then tend to settle to the bottom, primarily in deep areas, such as berths and navigation channels.