Notably, AIDP outperformed traditional clinical methods when compared with autopsy-confirmed cases, achieving diagnostic accuracy of 93.9%, a 12.3% improvement over clinical diagnoses.

Across two cohorts, the Automated Imaging Differentiation for Parkinsonism (AIDP) machine learning model distinguished Parkinson's disease, multiple system atrophy (MSA) parkinsonian variant ...

Experts discuss how cancer treatment and survivorship can be made more equitable and affordable through advocacy, outreach, and effective communication tools. Beyond Cancer: Caring for Young ...

The research group led by Prof. Wang Chu from the College of Chemistry and Molecular Engineering at Peking University published a research article entitled "Quantitative Chemoproteomics Reveals ...

Medical research involves research in a wide range of fields, such as biology, chemistry, pharmacology and toxicology with the goal of developing new medicines or medical procedures or improving ...

Wearable mobile health technology could help people with Type 2 Diabetes (T2D) to stick to exercise regimes that help them to keep the condition under control, a new study reveals. Compared to ...

This table lists top donors to this group in the 2023-2024 election cycle, and may include contributions from the organization itself, its PAC, individual members or employees or owners, and those ...

This cutting-edge system, known as Automated Imaging Differentiation for Parkinsonism (AIDP), utilizes machine learning algorithms and 3-Tesla diffusion MRI scans to differentiate Parkinson’s from ...

The software, Automated Imaging Differentiation for Parkinsonism (AIDP), is automated MRI processing and machine learning software that features a noninvasive biomarker technique. Using ...

Researchers conducted a retrospective study to evaluate the accuracy of Automated Imaging Differentiation for Parkinsonism (AIDP) using 3-T diffusion MRI and support vector machine (SVM) learning.

The new software, called Automated Imaging Differentiation for Parkinsonism (AIDP), uses MRI scans and machine learning to detect signs of neurodegeneration in the brain. It relies on diffusion ...