A5088773552- Adsorption and biosorption for pollutant removal
- Dye analysis and toxicity
- Biodiesel Production and Applications
- Catalysis and Hydrodesulfurization Studies
- Fluoride Effects and Removal
- Nanoparticles: synthesis and applications
- Enzyme Catalysis and Immobilization
- Carbon Dioxide Capture Technologies
- Phosphorus and nutrient management
- Artificial Intelligence in Healthcare and Education
- Catalytic Processes in Materials Science
- Groundwater and Isotope Geochemistry
- Machine Learning in Healthcare
- Urban, Neighborhood, and Segregation Studies
- Nanotechnology research and applications
- Membrane Separation and Gas Transport
- Petroleum Processing and Analysis
- Enzyme-mediated dye degradation
- Music History and Culture
- Mathematical Biology Tumor Growth
- Clinical Reasoning and Diagnostic Skills
- Heat transfer and supercritical fluids
- Food Chemistry and Fat Analysis
- Impact of Technology on Adolescents
- Urban Planning and Governance
Google (United States)
2025
Bharati Vidyapeeth Deemed University
2013-2024
Shri Jagdishprasad Jhabarmal Tibrewala University
2017-2022
Princeton University
2021
NanoLab (United States)
2009
At the heart of medicine lies physician-patient dialogue, where skillful history-taking paves way for accurate diagnosis, effective management, and enduring trust. Artificial Intelligence (AI) systems capable diagnostic dialogue could increase accessibility, consistency, quality care. However, approximating clinicians' expertise is an outstanding grand challenge. Here, we introduce AMIE (Articulate Medical Explorer), a Large Language Model (LLM) based AI system optimized dialogue. uses novel...
Excellence in a wide variety of medical applications poses considerable challenges for AI, requiring advanced reasoning, access to up-to-date knowledge and understanding complex multimodal data. Gemini models, with strong general capabilities long-context offer exciting possibilities medicine. Building on these core strengths Gemini, we introduce Med-Gemini, family highly capable models that are specialized medicine the ability seamlessly use web search, can be efficiently tailored novel...
An accurate differential diagnosis (DDx) is a cornerstone of medical care, often reached through an iterative process interpretation that combines clinical history, physical examination, investigations and procedures. Interactive interfaces powered by Large Language Models (LLMs) present new opportunities to both assist automate aspects this process. In study, we introduce LLM optimized for diagnostic reasoning, evaluate its ability generate DDx alone or as aid clinicians. 20 clinicians...
Abstract At the heart of medicine lies physician–patient dialogue, where skillful history-taking enables effective diagnosis, management and enduring trust 1,2 . Artificial intelligence (AI) systems capable diagnostic dialogue could increase accessibility quality care. However, approximating clinicians’ expertise is an outstanding challenge. Here we introduce AMIE (Articulate Medical Intelligence Explorer), a large language model (LLM)-based AI system optimized for dialogue. uses...
Abstract A comprehensive differential diagnosis is a cornerstone of medical care that often reached through an iterative process interpretation combines clinical history, physical examination, investigations and procedures. Interactive interfaces powered by large language models present new opportunities to assist automate aspects this 1 . Here we introduce the Articulate Medical Intelligence Explorer (AMIE), model optimized for diagnostic reasoning, evaluate its ability generate alone or as...
The scarcity of subspecialist medical expertise, particularly in rare, complex and life-threatening diseases, poses a significant challenge for healthcare delivery. This issue is acute cardiology where timely, accurate management determines outcomes. We explored the potential AMIE (Articulate Medical Intelligence Explorer), large language model (LLM)-based experimental AI system optimized diagnostic dialogue, to potentially augment support clinical decision-making this challenging context....
Large language models (LLMs) have shown remarkable progress in encoding clinical knowledge and responding to complex medical queries with appropriate reasoning. However, their applicability subspecialist or settings remains underexplored. In this work, we probe the performance of AMIE, a research conversational diagnostic AI system, domain breast oncology care without specific fine-tuning challenging domain. To perform evaluation, curated set 50 synthetic cancer vignettes representing range...
The objective of the current study was to find cashew nutshell powder as an inexpensive adsorbent extract malachite green (MG) dye from a water solution. Parameters like influence temperature on MG ions, dose, pH, concentration, and time contact nut shell were investigated in batch experiments. Using scanning electron microscope, Fourier transforms infrared radiation, Electronic dispersive elemental analysis, characterization studied. Analysing equilibrium data for Freundlich, Temkin,...
Abstract Introduction: Screens including television, smartphones, and others have become an integral part of the lives children. Often these devices keep children solitarily engaged resulting in a reduction communication opportunities that can impact social interactions. The current study aimed to investigate screen-time patterns explore relationship between exposure pragmatic development age range 1–4 years. Materials Methods: Parents 60 years participated study. A semi-structured...
To characterize navigation errors made by patients with the absence of vestibular function on one side owing to surgical resection an acoustic neuroma.Seventeen young (18-38 years) and 9 older healthy individuals (67-83 years), as well 5 2 20 months following surgery (37-61 were studied. They sidestepped laterally eyes closed toward memorized targets located 1.25 m their right or left. stopped when they judged that in front target. The position head body markers was recorded three dimensions...