Best AI tools for< Track Clinical Trials >

Oatmeal Health is an AI-powered platform that specializes in cancer screening and clinical trials. The platform seamlessly integrates cancer screenings into Community Health Centers, utilizing AI risk assessments, care navigation, and advanced diagnostic screenings to support patients and track outcomes. Oatmeal Health aims to improve patient health, lower the overall cost of cancer care, and generate revenue for healthcare centers through evidence-based care and value-based initiatives.

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.

Careo AI is an advanced AI-driven solution that is transforming clinical recruitment and revolutionizing healthcare staffing. The platform offers cutting-edge technology to streamline candidate management, vacancy tracking, workflow automation, analytics, and reporting. It provides seamless integration with existing systems, customization, and scalability for recruitment agencies. Careo AI aims to optimize recruitment strategies and enhance productivity in the healthcare industry.

RapidAI is a software platform powered by AI that focuses on aneurysm, pulmonary embolism, and stroke. It offers a range of products and solutions designed to improve patient care and efficiency in hospitals. The technology is clinically rooted and revolutionary, developed by clinicians for clinicians. RapidAI's AI-based platform is known for its speed, scalability, and security, with customization options to meet specific hospital needs. The platform has been trusted by 2,200 hospitals, impacting 90 million lives over 15 years of technological development.

Woebot Health is an AI-driven enterprise solution for mental health that aims to increase access to mental health support and improve business outcomes. It offers in-the-moment mental health support through an app, providing interactive conversations and tools based on elements from Cognitive Behavioral Therapy, Interpersonal Psychotherapy, and Dialectical Behavioral Therapy. Woebot is designed to address equitable access, drive activation and satisfaction, deliver population health insights, and leverage quality scores. It is available for adults and adolescents as a non-prescription tool to develop coping skills for symptoms of anxiety and depression.

Navina AI is a clinician-first AI platform designed to streamline patient care by providing key insights and actionable recommendations to healthcare providers, ACOs, MSOs, and health plans. The platform leverages proprietary AI technology to improve clinical decision-making, reduce administrative burden, and enhance quality management and risk adjustment processes. Navina AI offers efficient chart review, accurate risk adjustment, streamlined quality management, robust analytics, and a user-friendly interface that integrates seamlessly into the clinical workflow.

Zenora is a mental health AI application that empowers users to uncover their inner strength and achieve peace and fulfillment. Developed by clinical psychologists, Zenora combines advanced AI technology with health psychology principles to provide personalized mental health support. Users can track their moods, habits, and goals for free, engage in AI-guided therapeutic sessions, set and manage personal growth goals, and gain insights into their emotional well-being through in-depth analytics.

March is an AI-powered women's health and wellness solution that offers comprehensive care from initial diagnosis to holistic management for conditions like Endometriosis, PCOS, and Pelvic Pain. The platform provides personalized screenings, recommendations, health coaching, and virtual clinical care, empowering women to proactively manage their health. March leverages AI technology to offer accurate non-invasive diagnoses, personalized pain management strategies, and home-based care options. The application aims to revolutionize women's health by providing tailored support and empowering women to prioritize their well-being.

AKASA is a healthcare revenue cycle management company that uses generative AI (GenAI) to improve the revenue cycle for healthcare providers. AKASA's GenAI-powered platform and solutions help healthcare providers reduce denials, improve margins, and increase revenue. AKASA's platform includes solutions for authorization management, claim status, and claim attachment. AKASA's GenAI is trained on clinical and financial data and is optimized for healthcare. AKASA's clients include over 475 hospitals and 6,500 outpatient facilities across all 50 states.

Crayon is a competitive intelligence software that helps businesses track competitors, win more deals, and stay ahead in the market. Powered by AI, Crayon enables users to analyze, enable, compete, and measure their competitive landscape efficiently. The platform offers features such as competitor monitoring, AI news summarization, importance scoring, content creation, sales enablement, performance metrics, and more. With Crayon, users can receive high-priority insights, distill articles about competitors, create battlecards, find intel to win deals, and track performance metrics. The application aims to make competitive intelligence seamless and impactful for sales teams.

Meals.Chat is an AI-powered food tracking app that helps you track your calories, macros, and caffeine consumption. Simply send a photo of your food or drink to the app, and it will automatically calculate the nutritional information. You can also manually enter your meals if you forget to take a picture. Meals.Chat can help you set and achieve your weight loss or weight gain goals. It can also help you track your caffeine intake to improve your sleep and reduce jitters.

Calorieasy is an AI-powered calorie tracker that simplifies healthy eating. With its advanced AI technology, Calorieasy can instantly recognize and log food items, providing accurate calorie data and nutritional information. The app also offers personalized calorie goals, meal tracking, and progress monitoring to help users achieve their fitness goals.

Eczemaless is an AI-powered eczema management app that helps users track and manage their condition. The app offers a variety of features, including eczema severity scoring, real-time weather alerts, food tracking, user-friendly graphs, and customized care routines. Eczemaless is available in five languages and has been downloaded over 15,000 times.

JotURL is an all-in-one link management platform that helps users build their brand, track leads, and convert more business. It offers a suite of tools for creating branded links, QR codes, custom link previews, conversion tracking, UTM building, activity monitoring, deep linking, retargeting, and call-to-actions. With a user-friendly dashboard, JotURL allows users to optimize their marketing spend and track audience engagement across all channels. Trusted by thousands of companies and marketers, JotURL provides a reliable solution for managing tracking links and improving user engagement.

Pixela.ai is a web-based application that helps users track their habits and goals. It offers a variety of features to help users stay motivated, including the ability to set goals, track progress, and share results with friends. Pixela.ai is designed to be simple and easy to use, making it a great option for people who are new to habit tracking.

Clockk is an AI-powered time tracking tool designed for professionals to easily and accurately track their time spent on client projects. It eliminates the need for manual timers and time sheets by automatically tracking work in the background. Clockk helps users bill accurately, work the way they want to, plan for business growth, and integrate with their tech stack seamlessly. It offers a user-friendly experience with full control over data visibility and aims to make time tracking more efficient and enjoyable.

PaperClip is an AI tool designed to help users keep track of their daily AI papers review. It allows users to memorize details from papers in machine learning, computer vision, and natural language processing. The tool offers an extension that enables users to find back important findings from AI research papers, ML blog posts, and news. PaperClip's AI runs locally, ensuring data privacy, and offers features like offline support, clean data reset, and no external API calls.

Stackie.AI is a life logging and tracking application that empowers users to log, track, recall, and reflect on various aspects of their lives. With embedded AI capabilities, users can create personalized diaries, manage health metrics, organize information, and engage in AI-assisted learning. The application offers auto-formatting, categorization, customizable stack structures, and templates for seamless user experience. Stackie.AI aims to enhance self-awareness, productivity, and overall well-being through efficient logging and tracking functionalities.

Onoco is the first super-app for parents that aims to track, predict, and share care for babies. It provides a smart, simple, safe, and easy-to-share platform where parents can monitor their baby's development milestones, daily routines, and growth progress. Onoco empowers parents with expert knowledge on essential topics such as baby sleep, nutrition, and postpartum health, bridging the gap between scientific research and everyday parenting. The app allows users to create personalized routines, monitor developmental milestones from birth to 5 years, share updates with caregivers, and receive brain-building tips tailored to the child's age and learning areas.

Valyr is a tool that helps you track usage, costs, and latency metrics for your GPT-3 logs with just one line of code. It's easy to get started and can be up and running in less than 3 minutes.

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.

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

Awesome LLM Strawberry is a collection of research papers and blogs related to OpenAI Strawberry(o1) and Reasoning. The repository is continuously updated to track the frontier of LLM Reasoning.

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.

This repository provides a curated list of papers, datasets, and resources related to the detection and mitigation of hallucinations in large language models (LLMs). Hallucinations refer to the generation of factually incorrect or nonsensical text by LLMs, which can be a significant challenge for their use in real-world applications. The resources in this repository aim to help researchers and practitioners better understand and address this issue.

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

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.

The LLMEvaluation repository is a comprehensive compendium of evaluation methods for Large Language Models (LLMs) and LLM-based systems. It aims to assist academics and industry professionals in creating effective evaluation suites tailored to their specific needs by reviewing industry practices for assessing LLMs and their applications. The repository covers a wide range of evaluation techniques, benchmarks, and studies related to LLMs, including areas such as embeddings, question answering, multi-turn dialogues, reasoning, multi-lingual tasks, ethical AI, biases, safe AI, code generation, summarization, software performance, agent LLM architectures, long text generation, graph understanding, and various unclassified tasks. It also includes evaluations for LLM systems in conversational systems, copilots, search and recommendation engines, task utility, and verticals like healthcare, law, science, financial, and others. The repository provides a wealth of resources for evaluating and understanding the capabilities of LLMs in different domains.

HuatuoGPT2 is an innovative domain-adapted medical large language model that excels in medical knowledge and dialogue proficiency. It showcases state-of-the-art performance in various medical benchmarks, surpassing GPT-4 in expert evaluations and fresh medical licensing exams. The open-source release includes HuatuoGPT2 models in 7B, 13B, and 34B versions, training code for one-stage adaptation, partial pre-training and fine-tuning instructions, and evaluation methods for medical response capabilities and professional pharmacist exams. The tool aims to enhance LLM capabilities in the Chinese medical field through open-source principles.

Nuitrack™ is an ultimate 3D body tracking solution developed by 3DiVi Inc. It enables body motion analytics applications for virtually any widespread depth sensors and hardware platforms, supporting a wide range of applications from real-time gesture recognition on embedded platforms to large-scale multisensor analytical systems. Nuitrack provides highly-sophisticated 3D skeletal tracking, basic facial analysis, hand tracking, and gesture recognition APIs for UI control. It offers two skeletal tracking engines: classical for embedded hardware and AI for complex poses, providing a human-centric spatial understanding tool for natural and intelligent user engagement.

BAML is a config file format for declaring LLM functions that you can then use in TypeScript or Python. With BAML you can Classify or Extract any structured data using Anthropic, OpenAI or local models (using Ollama) ## Resources  [Discord Community](https://discord.gg/boundaryml)  [Follow us on Twitter](https://twitter.com/boundaryml) * Discord Office Hours - Come ask us anything! We hold office hours most days (9am - 12pm PST). * Documentation - Learn BAML * Documentation - BAML Syntax Reference * Documentation - Prompt engineering tips * Boundary Studio - Observability and more #### Starter projects * BAML + NextJS 14 * BAML + FastAPI + Streaming ## Motivation Calling LLMs in your code is frustrating: * your code uses types everywhere: classes, enums, and arrays * but LLMs speak English, not types BAML makes calling LLMs easy by taking a type-first approach that lives fully in your codebase: 1. Define what your LLM output type is in a .baml file, with rich syntax to describe any field (even enum values) 2. Declare your prompt in the .baml config using those types 3. Add additional LLM config like retries or redundancy 4. Transpile the .baml files to a callable Python or TS function with a type-safe interface. (VSCode extension does this for you automatically). We were inspired by similar patterns for type safety: protobuf and OpenAPI for RPCs, Prisma and SQLAlchemy for databases. BAML guarantees type safety for LLMs and comes with tools to give you a great developer experience:  Jump to BAML code or how Flexible Parsing works without additional LLM calls. | BAML Tooling | Capabilities | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | BAML Compiler install | Transpiles BAML code to a native Python / Typescript library (you only need it for development, never for releases) Works on Mac, Windows, Linux  | | VSCode Extension install | Syntax highlighting for BAML files Real-time prompt preview Testing UI | | Boundary Studio open (not open source) | Type-safe observability Labeling |

Awesome-TimeSeries-SpatioTemporal-LM-LLM is a curated list of Large (Language) Models and Foundation Models for Temporal Data, including Time Series, Spatio-temporal, and Event Data. The repository aims to summarize recent advances in Large Models and Foundation Models for Time Series and Spatio-Temporal Data with resources such as papers, code, and data. It covers various applications like General Time Series Analysis, Transportation, Finance, Healthcare, Event Analysis, Climate, Video Data, and more. The repository also includes related resources, surveys, and papers on Large Language Models, Foundation Models, and their applications in AIOps.

FastTrackML is an experiment tracking server focused on speed and scalability, fully compatible with MLFlow. It provides a user-friendly interface to track and visualize your machine learning experiments, making it easy to compare different models and identify the best performing ones. FastTrackML is open source and can be easily installed and run with pip or Docker. It is also compatible with the MLFlow Python package, making it easy to integrate with your existing MLFlow workflows.

Countdown timers to keep track of a bunch of CV/NLP/ML/RO conference deadlines.

Emerging Trajectories is an open source library for tracking and saving forecasts of political, economic, and social events. It provides a way to organize and store forecasts, as well as track their accuracy over time. This can be useful for researchers, analysts, and anyone else who wants to keep track of their predictions.

LangWatch is a monitoring and analytics platform designed to track, visualize, and analyze interactions with Large Language Models (LLMs). It offers real-time telemetry to optimize LLM cost and latency, a user-friendly interface for deep insights into LLM behavior, user analytics for engagement metrics, detailed debugging capabilities, and guardrails to monitor LLM outputs for issues like PII leaks and toxic language. The platform supports OpenAI and LangChain integrations, simplifying the process of tracing LLM calls and generating API keys for usage. LangWatch also provides documentation for easy integration and self-hosting options for interested users.

Find active recruiting oncology clinical trials near you.

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

Clinical trial assistant answering questions about clinical trials.

Accurate and timely matching of patients with clinical trials

Approachable expert on FDA medical device regulation. Offering direct download links for related regulation and guidance documents from FDA sites.

Your go-to, fun-loving F1 guide for trivia, facts, and games!

I turn Toggl data into insightful visuals. Get your data from Settings (in Toggl Track) -> Data Export -> Export Time Entries. Ask for bonus analyses and plots :)

Your TV/Film Companion. Keep track of plot developments and character arcs in your favourite TV shows and films, spoiler-free.

I track STEPN game system changes daily.

Track & analyze your carbon footprint with ease! EcoTracker Pro helps you make eco-friendly choices & reduce your impact. 🌎♻️

Easily track protein, calories and fat by taking photos of your meals.

by Medicinex.tech: Simply snap a photo of your meals or nutrition label, and AI will calculate the calories and nutrients in your food and track progress.

Your fast track to the hottest Black Friday deals, with direct links.

I'm a coach for instrumentalists, helping you plan and track your practice sessions.

A GPT to create images, and keep track of metadata of the images

I write detailed CSW reports and track user progress for improvement.

Decision Journal can help you with decision making, keeping track of the decisions you've made, and helping you review them later on.

Your favorite New York Rappers battling it out for the crown to their city! On the track to in the ring 🥊👊🏼💥. Choose your two fighters! Cardi B, Nicki Minaj, Ice Spice, ASAP Rocky, Nas, Jay Z, 50 Cent, French Montana, Fat Joe, A Boogie, Lil Tecca, Dave East, Joey Bada$$

Create, Customize, and Track Stunning QR Codes Art with Our Free QR Code AI Art Generator. Seamlessly integrate these artistic codes into your marketing materials, packaging, and digital platforms.

Give me an Ethereum transaction hash, I'll give you the value in ETH.