Best AI tools for< Health Researcher >

HeHealth is an AI-powered application that aims to revolutionize sexual health by providing early detection of sexually transmitted infections (STIs). The application collaborates with public health entities to transform sexual health care delivery at a population level. With over 400 million people contracting STIs globally every year, HeHealth addresses the critical gap of undiagnosed cases by offering a discreet and efficient AI-powered Penis Health Checker. The tool provides instant results in the comfort and privacy of one's home, with a detection accuracy of approximately 94% for visual symptoms, at a fraction of the cost of traditional methods.

Clearmind is the world's first personalized AI therapy platform designed to measure and elevate emotional health. It offers proven and reliable AI therapy methods that cater to individual struggles by providing unique solutions based on real user experiences. The platform transforms thoughts into shareable art, helps users map their emotional journey, offers personalized mood-lifters, actionable steps, and hyper-personalized meditation experiences. Clearmind's AI therapist provides insightful chats, hidden emotional pattern discovery, and tailor-made strategies for well-being. The application adapts to users' personalities and offers mental health care that is accessible and affordable.

Murror is an AI mental health assistant designed to help individuals articulate their thoughts and emotions, reflect on their experiences, and broaden their self-view. It offers personalized reflections, insights, and tracking of mental health progress through AI-generated artwork and journal topic identification. Murror ensures privacy and security by encrypting and securing all data, using it only for mental health research purposes. Users can join the waitlist to access early and work together to enhance the product experience.

The Petrie-Flom Center at Harvard Law School is a leading center for the study of health law and policy. The Center's mission is to improve the health of the public through research, teaching, and advocacy. The Center's work focuses on a wide range of health law and policy issues, including access to care, the regulation of health care providers, and the ethical and legal implications of new health technologies.

Vibes Ai is an AI application that focuses on cognitive wellness and neural entrainment through bioacoustics and vibrational therapies. It offers science-backed research and technology to enhance mental well-being and overall health. The platform provides users with access to medical-grade biosensing tools for personalized cognitive enhancement. With a strong emphasis on the connection between sound, brain health, and vibrational frequencies, Vibes Ai aims to promote mindfulness and effortless neural entrainment for its users.

MIM Fertility is an AI-powered platform offering certified AI/ML solutions for fertility specialists. Their applications, EMBRYOAID® and FOLLISCAN®, assist in embryo assessment and ovarian follicular monitoring, respectively. The platform aims to deliver effective IVF care by automating imaging workflows and enhancing diagnostic accuracy through AI technology. MIM Fertility collaborates with top clinics and IVF equipment manufacturers to advance reproductive health through innovative technologies and groundbreaking research.

Glass Health is an AI-powered clinical decision support platform that empowers clinicians by providing tools to develop differential diagnoses and draft clinical plans. The platform combines cutting-edge AI technology with evidence-based medical knowledge to streamline diagnostic decisions and optimize clinician workflows. Glass Health's mission is to leverage technology to enhance the practice of medicine, increase diagnostic accuracy, implement evidence-based medicine, promote health equity, and improve patient outcomes globally. The platform is built by clinicians, for clinicians, with a deep commitment to safety, ethics, and alignment.

Iterative Health is a company that is dedicated to providing world-class GI care and treatment to patients around the world. They are on a mission to bring world-class care and treatment to patients around the world. Advances in machine learning and artificial intelligence are helping them create a complete GI ecosystem with the power to turn this vision into reality.

Health AI Partnership (HAIP) is an AI tool designed to empower healthcare professionals to effectively, safely, and equitably use AI through community-informed up-to-date standards. The platform offers resources, publications, events, and a practice network to advance the use of AI in healthcare and support professionals in implementing AI solutions.

Buoy Health is an AI-powered symptom checker and health information platform. It provides users with personalized health information and guidance based on their symptoms and medical history. Buoy Health's AI technology helps users to identify potential health issues and find the right care options. The platform also offers a variety of health-related content, including articles, videos, and quizzes.

Oatmeal Health is an AI-enabled cancer screening and clinical trials platform designed to support Community Health Centers and improve patient outcomes. By seamlessly integrating AI technology with dedicated virtual care teams, Oatmeal Health facilitates evidence-based cancer screenings, care navigation, and diagnostic screenings to enhance value-based revenue and quality metrics. The platform aims to prevent late-stage cancer by providing early diagnosis and personalized risk assessments, ultimately saving lives and reducing the overall cost of cancer care.

Intelligent Health is the world's leading AI in medicine summit series dedicated to saving lives with AI. The platform hosts a healthtech community committed to advancing pivotal conversations on AI in medicine and fostering global collaboration across the healthcare sector. With a comprehensive agenda offering access to expert voices, Intelligent Health expedites critical discussions on challenges, solutions, and innovations to facilitate key decision-making and impactful investments. The platform aims to ensure the safe, effective, and democratic adoption of AI in healthcare to improve global health outcomes for all.

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.

GaitAnalyzer.health is a web application designed to analyze and assess human gait patterns for healthcare professionals and researchers. The platform utilizes advanced algorithms to process gait data captured through various sensors and devices, providing valuable insights into gait abnormalities and biomechanical characteristics. Users can upload gait data, visualize results, and generate detailed reports to aid in diagnosis and treatment planning. GaitAnalyzer.health aims to improve the understanding of human movement patterns and enhance the quality of care in the field of biomechanics and rehabilitation.

K Health is an AI-powered healthcare platform that leverages artificial intelligence to provide users with personalized medical insights and advice. By analyzing symptoms and medical history, K Health offers users a quick and convenient way to assess their health conditions and receive recommendations for next steps. The platform aims to democratize healthcare by making medical expertise more accessible and affordable to a wider audience. K Health is designed to complement traditional healthcare services and empower individuals to take control of their health proactively.

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.

Health Imaging is an AI-powered platform that focuses on providing cutting-edge solutions in medical imaging and healthcare management. The platform offers a wide range of features and tools that leverage artificial intelligence to enhance diagnostic accuracy, streamline workflows, and improve patient care. From advanced imaging technologies to AI-based training solutions, Health Imaging is at the forefront of innovation in the healthcare industry.

The AI Health World Summit is a biennial event organized by SingHealth that brings together global leaders in healthcare, academia, government, legal, and industry sectors to explore the latest advancements and applications of artificial intelligence in healthcare. The summit focuses on crucial topics such as AI technologies adoption, clinical applications, data governance, privacy safeguards, advancements in vision and language models for health contexts, responsible AI practices, and AI education. The event aims to foster collaboration and innovation in AI-driven healthcare solutions.

Medlabreport.com is an AI-powered platform that helps users understand their medical exam results easily. By uploading a single file, users receive a comprehensive report within 5 minutes, focusing on personalized insights based on symptoms, age, and other factors. The platform's advanced AI analyzes symptoms, provides recommendations, and prioritizes focus areas, empowering users to take control of their health. While the reports are not a substitute for licensed medical diagnosis, they offer a fast second opinion and complementary perspective to traditional healthcare.

August is a personal AI health assistant designed to provide direct answers to health questions, analyze lab reports and images, offer medical suggestions, and proactively check in on users' health. It aims to save time and reduce anxiety by providing tailored health information. August is not a replacement for medical advice but complements healthcare professionals' guidance. The platform prioritizes user privacy and data security, offering features like personalized nutritional planning, visual symptom checker, and medication/workout reminders.

OpenHealth is an AI health assistant that helps users manage their health data by leveraging AI and personal health information. It allows users to consolidate health data, parse it smartly, and engage in contextual conversations with GPT-powered AI. The tool supports various data sources like blood test results, health checkup data, personal physical information, family history, and symptoms. OpenHealth aims to empower users to take control of their health by combining data and intelligence for actionable health management.

The Microsoft Health Intelligence Machine Learning Toolbox is a repository that provides low-level and high-level building blocks for Machine Learning / AI researchers and practitioners. It simplifies and streamlines work on deep learning models for healthcare and life sciences by offering tested components such as data loaders, pre-processing tools, deep learning models, and cloud integration utilities. The repository includes two Python packages, 'hi-ml-azure' for helper functions in AzureML, 'hi-ml' for ML components, and 'hi-ml-cpath' for models and workflows related to histopathology images.

DNAnalyzer is a nonprofit organization dedicated to revolutionizing DNA analysis through AI-powered tools. It aims to democratize access to DNA analysis for a deeper understanding of human health and disease. The tool provides innovative AI-powered analysis and interpretive tools to empower geneticists, physicians, and researchers to gain deep insights into DNA sequences, revolutionizing how we understand human health and disease.

Nmed2024 is a GitHub repository that contains code for a neural network model designed for medical image analysis. The repository includes scripts for training the model, as well as pre-trained weights for quick deployment. The model is specifically tailored for detecting abnormalities in medical images, such as tumors or fractures. It utilizes deep learning techniques to achieve high accuracy and can be easily integrated into existing medical imaging systems. Researchers and developers in the healthcare industry can leverage this tool to enhance the efficiency and accuracy of medical image analysis tasks.

This repository, Awesome-LLM-Survey, serves as a comprehensive collection of surveys related to Large Language Models (LLM). It covers various aspects of LLM, including instruction tuning, human alignment, LLM agents, hallucination, multi-modal capabilities, and more. Researchers are encouraged to contribute by updating information on their papers to benefit the LLM survey community.

The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.

WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

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.

This repository contains a comprehensive list of various summer schools and winter schools in the field of artificial intelligence, machine learning, medical imaging, and healthcare. It provides detailed information about upcoming events, including the name, venue, date, deadline, organizers, fees, and scholarship details. The repository aims to share opportunities with the community and aspiring AI researchers/engineers, data scientists.

Kaapana is an open-source toolkit for state-of-the-art platform provisioning in the field of medical data analysis. The applications comprise AI-based workflows and federated learning scenarios with a focus on radiological and radiotherapeutic imaging. Obtaining large amounts of medical data necessary for developing and training modern machine learning methods is an extremely challenging effort that often fails in a multi-center setting, e.g. due to technical, organizational and legal hurdles. A federated approach where the data remains under the authority of the individual institutions and is only processed on-site is, in contrast, a promising approach ideally suited to overcome these difficulties. Following this federated concept, the goal of Kaapana is to provide a framework and a set of tools for sharing data processing algorithms, for standardized workflow design and execution as well as for performing distributed method development. This will facilitate data analysis in a compliant way enabling researchers and clinicians to perform large-scale multi-center studies. By adhering to established standards and by adopting widely used open technologies for private cloud development and containerized data processing, Kaapana integrates seamlessly with the existing clinical IT infrastructure, such as the Picture Archiving and Communication System (PACS), and ensures modularity and easy extensibility.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

The 'awesome-sound_event_detection' repository is a curated reading list focusing on sound event detection and Sound AI. It includes research papers covering various sub-areas such as learning formulation, network architecture, pooling functions, missing or noisy audio, data augmentation, representation learning, multi-task learning, few-shot learning, zero-shot learning, knowledge transfer, polyphonic sound event detection, loss functions, audio and visual tasks, audio captioning, audio retrieval, audio generation, and more. The repository provides a comprehensive collection of papers, datasets, and resources related to sound event detection and Sound AI, making it a valuable reference for researchers and practitioners in the field.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

Qlib is an open-source, AI-oriented quantitative investment platform that supports diverse machine learning modeling paradigms, including supervised learning, market dynamics modeling, and reinforcement learning. It covers the entire chain of quantitative investment, from alpha seeking to order execution. The platform empowers researchers to explore ideas and implement productions using AI technologies in quantitative investment. Qlib collaboratively solves key challenges in quantitative investment by releasing state-of-the-art research works in various paradigms. It provides a full ML pipeline for data processing, model training, and back-testing, enabling users to perform tasks such as forecasting market patterns, adapting to market dynamics, and modeling continuous investment decisions.

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.

ai-collective-tools is an open-source community dedicated to creating a comprehensive collection of AI tools for developers, researchers, and enthusiasts. The repository provides a curated selection of AI tools and resources across various categories such as 3D, Agriculture, Art, Audio Editing, Avatars, Chatbots, Code Assistant, Cooking, Copywriting, Crypto, Customer Support, Dating, Design Assistant, Design Generator, Developer, E-Commerce, Education, Email Assistant, Experiments, Fashion, Finance, Fitness, Fun Tools, Gaming, General Writing, Gift Ideas, HealthCare, Human Resources, Image Classification, Image Editing, Image Generator, Interior Designing, Legal Assistant, Logo Generator, Low Code, Models, Music, Paraphraser, Personal Assistant, Presentations, Productivity, Prompt Generator, Psychology, Real Estate, Religion, Research, Resume, Sales, Search Engine, SEO, Shopping, Social Media, Spreadsheets, SQL, Startup Tools, Story Teller, Summarizer, Testing, Text to Speech, Text to Image, Transcriber, Travel, Video Editing, Video Generator, Weather, Writing Generator, and Other Resources.

CIA is a powerful open-source tool designed for data analysis and visualization. It provides a user-friendly interface for processing large datasets and generating insightful reports. With CIA, users can easily explore data, perform statistical analysis, and create interactive visualizations to communicate findings effectively. Whether you are a data scientist, analyst, or researcher, CIA offers a comprehensive set of features to streamline your data analysis workflow and uncover valuable insights.

The 'ai-audio-startups' repository is a community list of startups working with AI for audio and music tech. It includes a comprehensive collection of tools and platforms that leverage artificial intelligence to enhance various aspects of music creation, production, source separation, analysis, recommendation, health & wellbeing, radio/podcast, hearing, sound detection, speech transcription, synthesis, enhancement, and manipulation. The repository serves as a valuable resource for individuals interested in exploring innovative AI applications in the audio and music industry.

LLMonFHIR is an iOS application that utilizes large language models (LLMs) to interpret and provide context around patient data in the Fast Healthcare Interoperability Resources (FHIR) format. It connects to the OpenAI GPT API to analyze FHIR resources, supports multiple languages, and allows users to interact with their health data stored in the Apple Health app. The app aims to simplify complex health records, provide insights, and facilitate deeper understanding through a conversational interface. However, it is an experimental app for informational purposes only and should not be used as a substitute for professional medical advice. Users are advised to verify information provided by AI models and consult healthcare professionals for personalized advice.

OpenManus is an open-source project aiming to replicate the capabilities of the Manus AI agent, known for autonomously executing complex tasks like travel planning and stock analysis. The project provides a modular, containerized framework using Docker, Python, and JavaScript, allowing developers to build, deploy, and experiment with a multi-agent AI system. Features include collaborative AI agents, Dockerized environment, task execution support, tool integration, modular design, and community-driven development. Users can interact with OpenManus via CLI, API, or web UI, and the project welcomes contributions to enhance its capabilities.

Leading AI expert in Global Health & Pandemic Response, offering unparalleled insights and solutions.

Analyzing global health data for pandemic prediction and strategy.

Virology researcher synthesizing data for insights.

Mimics Dr. Huberman's approach in discussing neuroscience and health.

This chatbot answers questions about the CDC’s Chronic Disease Indicators dataset

Eradicate Cervical Cancer by Providing Trustworthy Information on HPV

Especialista em dados de Saúde Coletiva

Ultra-specialized advice on epidemiological projects

Expert in psychological theories, therapeutic practices, and Bahá'í teachings.

Expert in health qualitative research and thematic analysis.

Insights on AI in healthcare and wellness

Explores a broad range of historical medical practices and their modern implications.

Your personal sleep medicine guru! 😴📊 Tracks sleep patterns, provides sleep hygiene tips, and interprets sleep health data with ease. Dream better!

Formal health assistant with data upload for personalized monitoring.

Provides information on digestive health and stomach issues, in an informative tone.

Explore potential causes for health concerns with informational guidance

Direct and concise health assistant focusing on symptom analysis.

This prompt is presented as a virtual health assistant that interacts empathically and efficiently with the user, assuming the role of a doctor.

Your go-to virtual companion for understanding medical conditions, treatments, and wellness tips! Empowers you with knowledge for informed health decisions. 🚑📚

Expert AI for health diagnostics, a digital doctor guiding through illnesses