Ewa Dominowska
A5028178741- Topic Modeling
- Machine Learning in Healthcare
- Artificial Intelligence in Healthcare and Education
- Consumer Market Behavior and Pricing
- Natural Language Processing Techniques
- Mathematical Biology Tumor Growth
- Digital Marketing and Social Media
- Speech and dialogue systems
- Simulation Techniques and Applications
- Information Retrieval and Search Behavior
- Biomedical Text Mining and Ontologies
- Web Data Mining and Analysis
- Video Analysis and Summarization
- Auction Theory and Applications
- AI in cancer detection
Google (United States)
2024-2025
Microsoft (United States)
2007-2008
Search engine advertising has become a significant element of the Web browsing experience. Choosing right ads for query and order in which they are displayed greatly affects probability that user will see click on each ad. This ranking strong impact revenue search receives from ads. Further, showing an ad prefer to improves satisfaction. For these reasons, it is important be able accurately estimate click-through rate system. have been repeatedly, this empirically measurable, but new ads,...
Recent artificial intelligence (AI) systems have reached milestones in "grand challenges" ranging from Go to protein-folding. The capability retrieve medical knowledge, reason over it, and answer questions comparably physicians has long been viewed as one such grand challenge. Large language models (LLMs) catalyzed significant progress question answering; Med-PaLM was the first model exceed a "passing" score US Medical Licensing Examination (USMLE) style with of 67.2% on MedQA dataset....
BackgroundMedicine is inherently multimodal, requiring the simultaneous interpretation and integration of insights between many data modalities spanning text, imaging, genomics, more. Generalist biomedical artificial intelligence systems that flexibly encode, integrate, interpret these might better enable impactful applications ranging from scientific discovery to care delivery.MethodsTo catalyze development models, we curated MultiMedBench, a new multimodal benchmark. MultiMedBench...
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...
Large language models (LLMs) have shown promise in medical question answering, with Med-PaLM being the first to exceed a 'passing' score United States Medical Licensing Examination style questions. However, challenges remain long-form answering and handling real-world workflows. Here, we present 2, which bridges these gaps combination of base LLM improvements, domain fine-tuning new strategies for improving reasoning grounding through ensemble refinement chain retrieval. 2 scores up 86.5% on...
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...
Medicine is inherently multimodal, with rich data modalities spanning text, imaging, genomics, and more. Generalist biomedical artificial intelligence (AI) systems that flexibly encode, integrate, interpret this at scale can potentially enable impactful applications ranging from scientific discovery to care delivery. To the development of these models, we first curate MultiMedBench, a new multimodal benchmark. MultiMedBench encompasses 14 diverse tasks such as medical question answering,...
Online advertising is a rapidly growing, multi-billion dollar industry. It has become significant element of the Web browsing experience. providers use sophisticated ad targeting and ranking algorithms with dual aim maximizing revenue while providing superior user As result, optimization very complex research problem, since it combines relevance interaction models, advertiser valuations, commercial constraints. integrates number core areas: machine learning, data mining, search, auction...