A5101576895- Dementia and Cognitive Impairment Research
- Alzheimer's disease research and treatments
- Artificial Intelligence in Healthcare
- Neurological Disease Mechanisms and Treatments
- Statistical Methods in Clinical Trials
- Functional Brain Connectivity Studies
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Machine Learning in Healthcare
- Time Series Analysis and Forecasting
- Cell Adhesion Molecules Research
- Advanced Database Systems and Queries
- Data Management and Algorithms
- Face and Expression Recognition
- Data Quality and Management
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Stroke Rehabilitation and Recovery
- Mental Health Research Topics
- Cholinesterase and Neurodegenerative Diseases
- Blood Coagulation and Thrombosis Mechanisms
- Acute Ischemic Stroke Management
- Protease and Inhibitor Mechanisms
- Scientific Computing and Data Management
- Reinforcement Learning in Robotics
- Adversarial Robustness in Machine Learning
- Graph theory and applications
AbbVie (United States)
2025
AbbVie (Japan)
2025
Medidata (United States)
2024
Stevens Institute of Technology
2024
Massachusetts General Hospital
2010-2023
Harvard University
2010-2023
Novartis Institutes for BioMedical Research
2021
Janssen (United States)
2012-2021
Novartis (Switzerland)
2021
Novartis (United States)
2020-2021
Disruption of lipid and carbohydrate homeostasis is an important factor in the development prevalent metabolic diseases such as diabetes, obesity, atherosclerosis. Therefore, small molecules that could reduce insulin dependence regulate dyslipidemia have a dramatic effect on public health. The grapefruit flavonoid naringenin has been shown to normalize lipids diabetes hypercholesterolemia, well inhibit production HCV. Here, we demonstrate regulates activity nuclear receptors PPARα, PPARγ,...
Because robotic devices record the kinematics and kinetics of human movements with high resolution, we hypothesized that measures collected longitudinally in patients after stroke would bear a significant relationship to standard clinical outcome and, therefore, might provide superior biomarkers.In moderate-to-severe acute ischemic stroke, used scales measure arm movement 7, 14, 21, 30, 90 days event at 2 sites. The robots are interactive speed, position, force so calculated kinematic...
Patients with Mild Cognitive Impairment (MCI) are at high risk of progression to Alzheimer's dementia. Identifying MCI individuals likelihood conversion dementia and the associated biosignatures has recently received increasing attention in AD research. Different for (neuroimaging, demographic, genetic cognitive measures) may contain complementary information diagnosis prognosis AD. We have conducted a comprehensive study using large number samples from Disease Neuroimaging Initiative (ADNI)...
Abstract Protease-activated receptor 1 (PAR1) is a G protein–coupled that not expressed in normal breast epithelia but up-regulated invasive carcinomas. In the present study, we found matrix metalloprotease-1 (MMP-1) robustly activates PAR1-Akt survival pathway carcinoma cells. This process blocked by cell-penetrating lipopeptide “pepducin,” P1pal-7, which potent inhibitor of cell viability cells expressing PAR1. Both MMP-1 and P1pal-7 significantly promote apoptosis tumor xenografts inhibit...
The Alzheimer's Disease Assessment Scale-Cognitive (ADAS-Cog) has been used widely as a cognitive end point in (AD) clinical trials. Efforts to treat AD pathology at earlier stages have also ADAS-Cog, but failure these trials can be difficult interpret because the scale well-known ceiling effects that limit its use mild impairment (MCI) and early AD. A wealth of data exists ADAS-Cog from both historical contemporary longitudinal natural history studies provide insights about parts may better...
The objective of this analysis was to develop a semi‐mechanistic nonlinear disease progression model using an expanded set covariates that captures the longitudinal change Alzheimer's Disease Assessment Scale (ADAS‐cog) scores from Neuroimaging Initiative study consisted 191 Alzheimer patients who were followed for 2 years. describes rate and baseline severity as function influential covariates. tested fell into 4 categories: (1) imaging volumetric measures, (2) serum biomarkers, (3)...
Engineered human capillaries reveal distinct contributions of hemodynamics and cytoadhesion in malaria parasite sequestration.
Hypothetical models of AD progression typically relate clinical stages to sequential changes in CSF biomarkers, imaging, and cognition. However, quantifying the continuous trajectories proposed by these over time is difficult because
Current state-of-the-art natural language processing (NLP) techniques use transformer deep-learning architectures, which depend on large training datasets. We hypothesized that traditional NLP may outperform transformers for smaller radiology report
The objective is to develop a semi-mechanistic disease progression model for mild cognitive impairment (MCI) subjects. aims describe the longitudinal of ADAS-cog scores from Alzheimer's neuroimaging initiative trial that had data 198 MCI subjects with cerebrospinal fluid (CSF) information who were followed 3 years.Various covariates tested on parameters and these variables fell into six categories: imaging volumetrics, biochemical, genetic, demographic, tests CSF biomarkers.CSF biomarkers...
Clinical trial monitoring is an essential component of drug development aimed at safeguarding subject safety, data quality, and protocol compliance by focusing sponsor oversight on the most important aspects study conduct. In recent years, regulatory agencies, industry consortia, nonprofit collaborations between regulators, such as TransCelerate International Committee for Harmonization, have been advocating a new, risk-based approach to clinical trials that places increased emphasis...
One of the primary goals systems biology is to understand how different cell types are regulated at various developmental stages and dysregulation in these cells contributes disease. With advances high-throughput omics profiling technologies, vast amounts both bulk tissue single-cell data have been generated study cellular regulation. To investigate gene-gene regulatory interactions that can be uncovered from versus data, we constructed multiple context-specific brain gene networks using...
<sec> <title>BACKGROUND</title> Effective management of cardiometabolic conditions requires sustained positive nutrition habits, often hindered by complex and individualized barriers. Direct human is simply not scalable, while deterministic automated approaches to coaching may lack the personalization needed address these diverse challenges. </sec> <title>OBJECTIVE</title> We report development validation a novel large language model (LLM)-powered agentic workflow designed provide...
Exposure-response (E-R) is a key aspect of pharmacometrics analysis that supports drug dose selection. Currently, there lack understanding the technical considerations necessary for drawing unbiased estimates from data. Due to recent advances in machine learning (ML) explainability methods, ML has garnered significant interest causal inference. To this end, we used simulated datasets with known E-R "ground truth" generate set good practices development models required avoid introducing...
Objective One of the greatest challenges in clinical trial design is dealing with subjectivity and variability introduced by human raters when measuring end-points. We hypothesized that robotic measures capture kinematics movements collected longitudinally patients after stroke would bear a significant relationship to ordinal scales potentially lead development more sensitive motor biomarkers could improve efficiency cost trials. Materials methods used assay measure arm movement 208 7, 14,...
The utility of chemoinformatics systems depends on the accurate computer representation and efficient manipulation chemical compounds. In such systems, a small molecule is often digitized as large fingerprint vector, where each element indicates presence/absence or number occurrences particular structural feature. Since in theory unique features can be exceedingly large, these vectors are usually folded into much shorter ones using hashing modulo operations, allowing fast "in-memory"...
One of the keys to running a successful clinical trial is selection high quality sites, i.e., sites that are able enroll patients quickly, engage them on an ongoing basis prevent drop-out, and execute in strict accordance protocol. Intuitively, historical track record site one strongest predictors its future performance; however, issues such as data availability wide differences protocol complexity can complicate interpretation. Here, we demonstrate how operational derived from central...
Four years ago, an experimental system known as PilotNet became the first NVIDIA to steer autonomous car along a roadway. This represents departure from classical approach for self-driving in which process is manually decomposed into series of modules, each performing different task. In PilotNet, on other hand, single deep neural network (DNN) takes pixels input and produces desired vehicle trajectory output; there are no distinct internal modules connected by human-designed interfaces. We...
Clinical trial data are typically collected through multiple systems developed by different vendors using technologies and standards. That need to be integrated, standardized transformed for a variety of monitoring reporting purposes. The process large volumes often inconsistent in the presence ever-changing requirements poses significant technical challenge. As part comprehensive clinical repository, we have warehouse that integrates patient from any source, standardizes it makes accessible...