Machine Learning
Machine Learning encompasses a range of technologies, including Large Language Models (LLMs), classifiers, and various other machine learning models, APIs, services, and infrastructure. These tools are applied to analyze healthcare and life sciences data for purposes such as predictive analytics, patient diagnosis, R&D, treatment personalization, and operational efficiencies.
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ScienceIO
ScienceIO
(1 Transcripts)ScienceIO transforms unstructured healthcare text into structured, actionable data using AI, covering over 9 million healthcare concepts.
Applied AI Company (AAICO)
Applied AI Company
Applied AI Company (AAICO) offers AI models and services in life sciences and healthcare, enabling medical literature analysis, generation of CPT and DRG codes from clinical documentation, and medical record organization and analysis.
GenHealth.ai
GenHealth.ai
GenHealth.ai
is an medical-focused foundational model trained on data from over 40 million patients for use in predicting patient health outcomes, supporting clinical decisions, and simulating clinical trials.
Hippocratic AI
Hippocratic AI
Hippocratic AI offers a safety-focused large language model (LLM) specifically for healthcare
Hume AI
Hume AI
Hume AI provides an API-controlled voice-to-voice AI product that can understand speech and optimize responses for user satisfaction using their proprietary LLM model that combines language modeling and emotional quotient training.
Mendel AI
Mendel AI
Mendel AI is a clinical AI platform for life sciences and healthcare organizations, allowing them to query structured and unstructured patient data in a conversational manner for complex data analysis.
Tuva Health
Tuva Health
Tuva Health provides services and open source software to transform raw healthcare data into analytics-ready data, simplifying data preparation for healthcare analytics and AI development.
