Best AI tools for< Patient Data Analysis >

Valo is a company that uses AI-driven technology to transform the discovery and development of life-changing medicines. They combine machine learning, tissue biology, and patient data to create a suite of powerful capabilities that bring the future of drug discovery and development to bear. Valo's team of software engineers, data scientists, biologists, medicinal chemists, and big-picture thinkers are dedicated to advancing the combined power of technology and patient data.

Decode Health is an AI and analytics platform that accelerates precision healthcare by supporting healthcare teams in launching machine learning and advanced analytics projects. The platform collaborates with pharmaceutical companies to enhance patient selection, biomarker identification, diagnostics development, data asset creation, and analysis. Decode Health offers modules for biomarker discovery, patient recruitment, next-generation sequencing, data analysis, and clinical decision support. The platform aims to provide fast, accurate, and actionable insights for acute and chronic disease management. Decode Health's custom-built modules are designed to work together to solve complex data problems efficiently.

ClosedLoop is a healthcare data science platform that helps organizations improve outcomes and reduce costs by providing accurate, explainable, and actionable predictions of individual-level health risks. The platform offers predictive analytics for various healthcare sectors, data science automation, and a healthcare content library to accelerate time to value. ClosedLoop's AI/ML platform is designed exclusively for the data science needs of modern healthcare organizations, enabling proactive interventions, improved clinical outcomes, and innovative healthcare offerings.

AiCure provides a patient-centric eClinical trial management platform that enhances drug development through improved medication adherence rates, more powerful analysis and prediction of treatment response using digital biomarkers, and reduced clinical tech burden. AiCure's solutions support traditional, decentralized, or hybrid trials and offer flexibility to meet the needs of various research designs.

Binah.ai is an AI-powered Health Data Platform that offers a software solution for video-based vital signs monitoring. The platform enables users to measure various health and wellness indicators using a smartphone, tablet, or laptop. It provides support for continuous monitoring through a raw PPG signal from external sensors and offers a range of features such as blood pressure monitoring, heart rate variability, oxygen saturation, and more. Binah.ai aims to make health data more accessible for better care at lower costs by leveraging AI and deep learning algorithms.

IXICO is a precision analytics company specializing in intelligent insights in neuroscience. They offer a range of services for drug development analytics, imaging operations, and post-marketing consultancy. With a focus on technology and innovation, IXICO provides expertise in imaging biomarkers, radiological reads, volumetric MRI, PET & SPECT, and advanced MRI. Their TrialTracker platform and Assessa tool utilize innovation and AI for disease modeling and analysis. IXICO supports biopharmaceutical companies in CNS clinical research with cutting-edge neuroimaging techniques and AI technology.

Medcol.io is a clinical AI assistant designed to support healthcare professionals in making informed decisions by providing evidence-based recommendations and insights. The platform leverages advanced algorithms and medical data analysis to assist in diagnosing diseases, suggesting treatment plans, and predicting patient outcomes. With a user-friendly interface and real-time updates, Medcol.io aims to streamline the clinical decision-making process and improve patient care.

CompliantChatGPT is a HIPAA-compliant platform that allows users to utilize OpenAI's GPT models for healthcare-related tasks while maintaining data privacy and security. It anonymizes protected health information (PHI) by replacing it with tokens, ensuring compliance with HIPAA regulations. The platform offers various modes tailored to specific healthcare needs, including bloodwork analysis, PHI anonymization, diagnosis assistance, and treatment planning. CompliantChatGPT streamlines healthcare tasks, enhances productivity, and provides user-friendly assistance through its intuitive interface.

MeDA School is an educational platform dedicated to promoting and nurturing talents in the field of Medical Artificial Intelligence (AI). The platform aims to establish a solid foundation for intelligent and precision medical talent pools in Taiwan and globally. MeDA School facilitates interaction and communication among members of the intelligent medical ecosystem, fostering deep understanding and trust in the operation and tasks of medical AI. The platform offers a blend of virtual and physical courses, inviting domain experts to share cutting-edge knowledge and integrating interdisciplinary knowledge to be practically applied in various fields.

Modality.AI is an AI application that has developed an automated, clinically validated system to assess neurological and psychiatric states both in clinic and remotely. The platform utilizes conversational AI to monitor conditions accurately and consistently, allowing researchers and clinicians to review data in near real-time and monitor treatment response over time. Modality.AI collaborates with world-class AI/Machine Learning experts and leading institutions to provide a HIPAA-compliant system for assessing various indications such as ALS, Parkinson's, depression, autism, Huntington's Disease, schizophrenia, and mild cognitive impairment. The platform enables convenient monitoring at home through streaming and analysis of speech and facial responses, without the need for special software or apps. Modality.AI is accessible on various devices with a browser, webcam, and microphone, offering a new approach to efficient and cost-effective clinical trials.

Viz.ai is a leading provider of AI-powered care coordination solutions for healthcare providers. Its comprehensive platform leverages advanced algorithms to analyze medical imaging data, providing real-time insights and automated assessments to accelerate diagnosis and treatment. Viz.ai's solutions cover a wide range of therapeutic areas, including neurology, cardiology, vascular medicine, trauma, and radiology. The company's mission is to improve patient outcomes by closing the gaps between patients, clinicians, and life-saving treatments.

Lex Machina is a Legal Analytics platform that provides comprehensive insights into litigation track records of parties across the United States. It offers accurate and transparent analytic data, exclusive outcome analytics, and valuable insights to help law firms and companies craft successful strategies, assess cases, and set litigation strategies. The platform uses a unique combination of machine learning and in-house legal experts to compile, clean, and enhance data, providing unmatched insights on courts, judges, lawyers, law firms, and parties.

Google Patents is a search engine that allows users to search through the full text of patents that have been granted by the United States Patent and Trademark Office (USPTO). The database includes patents from 1790 to the present day, and users can search by keyword, inventor, assignee, or patent number. Google Patents also provides access to images of the original patent documents, as well as links to related patents and articles.

Search&AI is a comprehensive platform designed for patent due diligence, offering efficient and accurate results in minutes. It provides services such as prior art search, claim chart generation, novelty diligence analysis, portfolio analysis, document search, and AI-powered chatbot assistance. The platform is built by a team of experienced engineers and is tailored to streamline the patent discovery and analysis process, saving time and money compared to traditional outsourced search firms.

C&EN, a publication of the American Chemical Society, provides the latest news and insights on the chemical industry, including research, technology, business, and policy. It covers a wide range of topics, including analytical chemistry, biological chemistry, business, careers, education, energy, environment, food, materials, people, pharmaceuticals, physical chemistry, policy, research integrity, safety, and synthesis.

Perceive Now is the world's first Large Language Model fine-tuned with IP and Market Research data. It offers custom IP and Market reports for various industries, providing detailed insights and analysis to support decision-making processes. The platform helps in identifying market trends, conducting due diligence, managing deal flow, and maximizing IP and licensing opportunities. Perceive Now is a game-changer in prior art search, increasing the odds of patent grant success. It has significantly reduced research costs and time, accessing over 100M IP and market data sources and assisting in securing funding worth $500M.

Patented.ai is an AI-powered platform that specializes in IP commercialization, patent valuation, and litigation support. The platform helps users unlock hidden revenue from their IP portfolio, identify valuable innovations in their codebase, and get data-driven insights on patent value and industry applicability. It offers features such as source code analysis, identifying licensees instantly, and mapping patent claims to source code. Patented.ai is trusted by leading innovators and IP counsel worldwide for lightning-fast insights and comprehensive IP strength assessments.

Leny.ai is an AI-powered medical assistant designed to provide instant support to medical professionals and patients. It offers features such as differential diagnosis, treatment plan drafting, discharge instructions, referral letters, and lab value analysis. Leny.ai aims to streamline healthcare processes, save time, and provide reliable and accurate medical information. The platform is still in beta mode and continuously improving to offer more accurate responses. It is focused on data security and privacy, although not currently HIPAA compliant. Leny.ai is free of charge at present and plans to transition to a subscription-based model in the future.

Oncora Medical is a healthcare technology company that provides software and data solutions to oncologists and cancer centers. Their products are designed to improve patient care, reduce clinician burnout, and accelerate clinical discoveries. Oncora's flagship product, Oncora Patient Care, is a modern, intelligent user interface for oncologists that simplifies workflow, reduces documentation burden, and optimizes treatment decision making. Oncora Analytics is an adaptive visual and backend software platform for regulatory-grade real world data analytics. Oncora Registry is a platform to capture and report quality data, treatment data, and outcomes data in the oncology space.

Komodo Health is a healthcare technology company that provides software applications to enable users to deliver exceptional value to their customers, colleagues, and patients. The company's Healthcare Map is the industry's most precise view of the U.S. healthcare system, and it combines the world's most comprehensive view of patient-encounters with innovative algorithms and decades of clinical expertise. Komodo Health's software applications are used by life sciences companies, payers, providers, and consultancies to improve the certainty of pre-launch plans, calculate Rx-based ROI for digital marketing, find patients with complicated or rare conditions, and more.

Open Life Science AI: Medical Reasoning Tasks is a collaborative hub for developing cutting-edge reasoning tasks for Large Language Models (LLMs) in the medical, healthcare, and clinical domains. The repository aims to advance AI capabilities in healthcare by fostering accurate diagnoses, personalized treatments, and improved patient outcomes. It offers a diverse range of medical reasoning challenges such as Diagnostic Reasoning, Treatment Planning, Medical Image Analysis, Clinical Data Interpretation, Patient History Analysis, Ethical Decision Making, Medical Literature Comprehension, and Drug Interaction Assessment. Contributors can join the community of healthcare professionals, AI researchers, and enthusiasts to contribute to the repository by creating new tasks or improvements following the provided guidelines. The repository also provides resources including a task list, evaluation metrics, medical AI papers, and healthcare datasets for training and evaluation.

Data-to-paper is an AI-driven framework designed to guide users through the process of conducting end-to-end scientific research, starting from raw data to the creation of comprehensive and human-verifiable research papers. The framework leverages a combination of LLM and rule-based agents to assist in tasks such as hypothesis generation, literature search, data analysis, result interpretation, and paper writing. It aims to accelerate research while maintaining key scientific values like transparency, traceability, and verifiability. The framework is field-agnostic, supports both open-goal and fixed-goal research, creates data-chained manuscripts, involves human-in-the-loop interaction, and allows for transparent replay of the research process.

LLMs4TS is a repository focused on the application of cutting-edge AI technologies for time-series analysis. It covers advanced topics such as self-supervised learning, Graph Neural Networks for Time Series, Large Language Models for Time Series, Diffusion models, Mixture-of-Experts architectures, and Mamba models. The resources in this repository span various domains like healthcare, finance, and traffic, offering tutorials, courses, and workshops from prestigious conferences. Whether you're a professional, data scientist, or researcher, the tools and techniques in this repository can enhance your time-series data analysis capabilities.

BasicLingua is a Python library that provides functionalities for linguistic tasks such as tokenization, stemming, lemmatization, and many others. It is based on the Gemini Language Model, which has demonstrated promising results in dealing with text data. BasicLingua can be used as an API or through a web demo. It is available under the MIT license and can be used in various projects.

This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.

The 'machine-learning-research' repository is a comprehensive collection of resources related to mathematics, machine learning, deep learning, artificial intelligence, data science, and various scientific fields. It includes materials such as courses, tutorials, books, podcasts, communities, online courses, papers, and dissertations. The repository covers topics ranging from fundamental math skills to advanced machine learning concepts, with a focus on applications in healthcare, genetics, computational biology, precision health, and AI in science. It serves as a valuable resource for individuals interested in learning and researching in the fields of machine learning and related disciplines.

This repository serves as a practical guide for Medical Large Language Models (Medical LLMs) and provides resources, surveys, and tools for building, fine-tuning, and utilizing LLMs in the medical domain. It covers a wide range of topics including pre-training, fine-tuning, downstream biomedical tasks, clinical applications, challenges, future directions, and more. The repository aims to provide insights into the opportunities and challenges of LLMs in medicine and serve as a practical resource for constructing effective medical LLMs.

Scientific Large Language Models (Sci-LLMs) is a repository that collects papers on scientific large language models, focusing on biology and chemistry domains. It includes textual, molecular, protein, and genomic languages, as well as multimodal language. The repository covers various large language models for tasks such as molecule property prediction, interaction prediction, protein sequence representation, protein sequence generation/design, DNA-protein interaction prediction, and RNA prediction. It also provides datasets and benchmarks for evaluating these models. The repository aims to facilitate research and development in the field of scientific language modeling.

Swarms provides simple, reliable, and agile tools to create your own Swarm tailored to your specific needs. Currently, Swarms is being used in production by RBC, John Deere, and many AI startups.

A repository that lists papers related to Large Language Model (LLM) based agents. The repository covers various topics including survey, planning, feedback & reflection, memory mechanism, role playing, game playing, tool usage & human-agent interaction, benchmark & evaluation, environment & platform, agent framework, multi-agent system, and agent fine-tuning. It provides a comprehensive collection of research papers on LLM-based agents, exploring different aspects of AI agent architectures and applications.

SurveyX is an advanced academic survey automation system that leverages Large Language Models (LLMs) to generate high-quality, domain-specific academic papers and surveys. Users can request comprehensive academic papers or surveys tailored to specific topics by providing a paper title and keywords for literature retrieval. The system streamlines academic research by automating paper creation, saving users time and effort in compiling research content.

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment interfaces and libraries for understanding AI systems. It empowers developers and stakeholders to develop and monitor AI responsibly, enabling better data-driven actions. The toolbox includes visualization widgets for model assessment, error analysis, interpretability, fairness assessment, and mitigations library. It also offers a JupyterLab extension for managing machine learning experiments and a library for measuring gender bias in NLP datasets.

The Keras-llm-robot Web UI project is an open-source tool designed for offline deployment and testing of various open-source models from the Hugging Face website. It allows users to combine multiple models through configuration to achieve functionalities like multimodal, RAG, Agent, and more. The project consists of three main interfaces: chat interface for language models, configuration interface for loading models, and tools & agent interface for auxiliary models. Users can interact with the language model through text, voice, and image inputs, and the tool supports features like model loading, quantization, fine-tuning, role-playing, code interpretation, speech recognition, image recognition, network search engine, and function calling.

AIlice is a fully autonomous, general-purpose AI agent that aims to create a standalone artificial intelligence assistant, similar to JARVIS, based on the open-source LLM. AIlice achieves this goal by building a "text computer" that uses a Large Language Model (LLM) as its core processor. Currently, AIlice demonstrates proficiency in a range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid tasks that go beyond these basic capabilities. AIlice has reached near-perfect performance in everyday tasks using GPT-4 and is making strides towards practical application with the latest open-source models. We will ultimately achieve self-evolution of AI agents. That is, AI agents will autonomously build their own feature expansions and new types of agents, unleashing LLM's knowledge and reasoning capabilities into the real world seamlessly.

The Medical_Image_Analysis repository focuses on X-ray image-based medical report generation using large language models. It provides pre-trained models and benchmarks for CheXpert Plus dataset, context sample retrieval for X-ray report generation, and pre-training on high-definition X-ray images. The goal is to enhance diagnostic accuracy and reduce patient wait times by improving X-ray report generation through advanced AI techniques.

Expert in healthcare data analysis, coding, and clinical trials.

A patient tutor for lower division biostatistics questions.

I assist in analyzing stocks with a detail-oriented, patient, data-driven approach, drawing from a wide range of expert authors.

This GPT will take a user's data and use it to construct a fake TV scene. Start by providing it with your character's Patient Profile, Diagnostic Findings, and Lab Data

A Master Researcher with vast experience in science and technology analysis.

Direct, insightful EEG and neurofeedback analysis specialist.

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Find recent research for your area of biological interest.

Aids in informatics for nurses and midwives.

Your enhanced guide to medical knowledge and documentation

Expert in Orthopaedic Bioengineering

Formal health assistant with data upload for personalized monitoring.

A knowledgeable and patient teacher in logistics, offering insights and guidance.

Accurate and timely matching of patients with clinical trials

Expert in oncology trial matching, leveraging advanced GPT-4 Turbo techniques.

您的数字化健康伴侣。专为追求健康生活的您设计，提供个性化健康建议、症状自检以及健康数据追踪功能，让健康管理变得简单、高效。

Insights on AI in healthcare and wellness

I craft visuals for medical concepts.

GPT for AI in Medicine