A5002031346- Multiple Sclerosis Research Studies
- Pharmacological Effects and Toxicity Studies
- Epilepsy research and treatment
- Peripheral Neuropathies and Disorders
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Acute Lymphoblastic Leukemia research
- Autoimmune and Inflammatory Disorders Research
- Chronic Lymphocytic Leukemia Research
- Neural Networks and Applications
- Infectious Encephalopathies and Encephalitis
- Advanced Memory and Neural Computing
- Pharmaceutical Economics and Policy
- Polyomavirus and related diseases
- Pregnancy and Medication Impact
- Disaster Response and Management
- Systemic Lupus Erythematosus Research
- Viral Infections and Immunology Research
- Hemoglobinopathies and Related Disorders
- T-cell and B-cell Immunology
- Ultrasound and Hyperthermia Applications
Massachusetts General Hospital
2023-2025
Harvard University
2024
University of Cambridge
2023
Harvard University Press
2019-2023
Harvard College Observatory
2021
At this critical juncture in the development of NeuroAI, we outline challenges and training needs junior researchers working across AI neuroscience. We also provide advice resources to help trainees plan their NeuroAI careers. New developing area at intersection neuroscience artificial intelligence has many open challenges, one which is new generation experts. In Comment, authors recommendations for
Most people with epilepsy (PWE) could live seizure-free if treated one or more antiseizure medications (ASMs). The World Health Organization (WHO) estimates that 75% of PWE in low-resource settings lack adequate treatment. Limited education surrounding and the out-of-pocket costs ASMs particular pose barriers to managing resource-poor, low-income settings. aim this study is implement test a novel strategy improve outcomes across care cascade marked by (1) retention care, (2) adherence ASMs,...
The objectives were to understand the employment impacts of myelin oligodendrocyte glycoprotein-associated antibody disease (MOGAD) on adults in an international cohort by determining lost employment, work hours, and wages.
Understanding how biological constraints shape neural computation is a central goal of computational neuroscience. Spatially embedded recurrent networks provide promising avenue to study modelled the combined structural and functional organisation over learning. Prior work has shown that spatially systems like this can combine structure function into single artificial models during But it remains unclear precisely how, in general, bound range attainable configurations. In work, we show...
Abstract Background and Objective Of ~5 million people living with epilepsy (PLWE) in Sub‐Saharan Africa, roughly one‐third experience depression over one third anxiety. In Guinea, these issues may be compounded by fewer available resources, such as appropriate anti‐seizure medications (ASMs). We aim to quantify seizure frequency, anxiety PLWE before after a free ASM intervention neurologist's consultation. Methods Guinean participants >12 years old ≥2 unprovoked were prospectively...