14 abstracts will be presented across a range of neurological conditions including post‑stroke spasticity, cervical dystonia, blepharospasm and ...

Nathan Collins delivered a captain’s performance to mark his 100th Brentford appearance and start the New Year with a clean sheet. The centre-half was in commanding form throughout the Bees’ 0-0 draw ...

Objective: To investigate the clinical features, neuroimaging characteristics, and prognosis of patients with anti–leucine-rich glioma-inactivated 1 (LGI1) antibody associated encephalitis. Methods: ...

Cognito Therapeutics Announces Presentation of New CSF Proteomic and EEG Biomarker Data for Spectris™ in Alzheimer’s Disease at CTAD 2025 Cognito Therapeutics, a clinical-stage medical device company ...

BOSTON--(BUSINESS WIRE)--Kelonia Therapeutics, Inc., a clinical-stage biotechnology company pioneering in vivo gene delivery, today announced that its first results from the ongoing inMMyCAR study, a ...

Multiple Myeloma (MM) is a type of hematological cancer in which diseased plasma cells proliferate and accumulate in the bone marrow, crowding out healthy blood cells and causing bone lesions, loss of ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

In a bid to make the lives of enterprise data engineers and data scientists easier and developers easier, Google Cloud today announced the release of six new artificial intelligence agent tools. The ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

ABSTRACT: Ordinal outcome neural networks represent an innovative and robust methodology for analyzing high-dimensional health data characterized by ordinal outcomes. This study offers a comparative ...