Best AI tools for< Manage A Clinical Trial >

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.

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.

Dimensions AI is an advanced scientific research database that provides a suite of research applications and time-saving solutions for intelligent discovery and faster insight. It hosts the largest collection of interconnected global research data, including publications, clinical trials, patents, policy documents, grants, datasets, and online citations. The platform offers easy-to-understand visualizations, purpose-built applications, and integrated AI technology to speed up research interpretation and analysis. Dimensions is designed to propel research by connecting the dots across the research ecosystem and saving researchers hours of time.

Biofourmis is a healthcare technology company that provides a connected technology platform for care delivery and drug development. The platform enables healthcare systems and pharmaceutical companies to deliver care and conduct clinical trials remotely, and to collect and analyze data to improve patient outcomes. Biofourmis's solutions have been shown to improve clinical, operational, and economic outcomes, such as reducing 30-day readmissions by 70%, detecting deterioration 21 hours sooner, and reducing cost of care by up to 38%.

Recursion is a techbio company that uses artificial intelligence to accelerate drug discovery. The company's platform combines hardware, software, and data to create a more efficient and effective drug discovery process. Recursion has a broad pipeline of drug candidates in development, and it has partnered with several leading pharmaceutical companies. The company is headquartered in Salt Lake City, Utah.

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.

Intelligencia AI is a leading provider of AI-powered solutions for the pharmaceutical industry. Our suite of solutions helps de-risk and enhance clinical development and decision-making. We use a combination of data, AI, and machine learning to provide insights into the probability of success for drugs across multiple therapeutic areas. Our solutions are used by many of the top global pharmaceutical companies to improve their R&D productivity and make more informed decisions.

Elythea is a next-generation maternal care platform that focuses on providing personalized care to Medicaid members through SMS texts. The platform utilizes a digital care manager named Clara to engage with high-risk members, identify complications early, and connect them to relevant resources. Elythea has a strong foundation of peer-reviewed clinical evidence and offers a proactive approach to maternal care, making it a valuable tool for Medicaid MCOs.

Ada is a clinically driven AI application that supports better health outcomes and clinical excellence with intelligent technology. It provides users with trusted medical expertise in minutes to understand, manage, and get care for symptoms. Ada also offers powerful enterprise solutions to inform health decisions, enhance triage, and reduce avoidable costs. The application is optimized with human doctors and offers medical guidance in multiple languages, making it a popular choice for symptom assessment and pandemic responses.

Phelix AI is an AI-powered healthcare automation platform that offers a range of features to streamline healthcare workflows. It provides solutions for tasks such as triaging faxes, answering phone calls, scheduling, managing referrals, automating tasks, and more. The platform integrates seamlessly with existing healthcare systems, saving time and improving efficiency for healthcare providers.

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.

AutoNotes is a leading healthcare AI Progress Note tool that offers AI-powered clinical documentation templates for generating SOAP Notes, DAP Notes, Treatment Plans, and more. It provides a user-friendly interface for therapists and healthcare professionals to create detailed and customizable clinical notes efficiently. With features like summarizing sessions, editing and downloading notes, and simple pricing plans, AutoNotes aims to streamline the documentation process in healthcare settings. The platform also offers advanced features like template customization, secure document storage, and dictation for voice-to-text conversion. Users can benefit from the platform's customization options, seamless integration with workflows, and responsive customer support.

Qure AI is a leading healthcare AI application that offers AI-powered assistance for accelerated healthcare products impact. It provides evidence-based insights and solutions for lung, heart, neuro, and musculoskeletal conditions. Qure AI is designed to be a perfect collaborator in every care decision, with the ability to deploy and scale anywhere with best-in-class support. The application focuses on chest X-ray reporting, TB care cascades, lung nodule management, stroke and traumatic brain injury (TBI), musculoskeletal X-ray reporting, and heart failure.

Astra Health is a leading multilingual AI scribe for clinicians, empowering healthcare providers with a medical notes creation solution that uses generative AI to draft notes, transcribe conversations in real-time, and automate clinical documentation. The application supports 35 languages, offers ambient listening mode, instant notes generation, custom templates creation, and voice-controlled assistant for managing clinical documentation. Astra Health prioritizes ethical and safe practices, ensuring data security and compliance with privacy regulations.

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.

Upheal is an AI-powered platform designed to assist mental health professionals with progress notes, treatment plans, session analytics, and scheduling. It leverages AI technology to automate note-taking, provide insights into client sessions, and streamline clinical workflows, allowing therapists to focus more on their clients and less on administrative tasks.

Consensus is a healthcare interoperability platform that simplifies data exchange and document processing through artificial intelligence technologies. It offers solutions for clinical documentation, HIPAA compliance, natural language processing, and robotic process automation. Consensus enables secure and efficient data exchange among healthcare providers, insurers, and other stakeholders, improving care coordination and operational efficiency.

Iodine Software is a healthcare technology company that provides AI-enabled solutions for revenue cycle management, clinical documentation integrity, and utilization management. The company's flagship product, AwareCDI, is a suite of solutions that addresses the root causes of mid-cycle revenue leakage from admission through post-billing review. AwareCDI uses Iodine's CognitiveML AI engine to spot what is missing in patient documentation based on clinical evidence. This enables healthcare organizations to maximize documentation integrity and revenue capture. Iodine Software also offers AwareUM, a continuous, intelligent prioritization solution for peak UM performance.

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.

Radiology Business is an AI tool designed to provide insights and solutions for professionals in the radiology field. The platform covers a wide range of topics including management, imaging, technology, and conferences. It offers news, analysis, and resources to help radiologists stay informed and make informed decisions. Radiology Business aims to leverage artificial intelligence to improve workflow efficiency and enhance the overall experience in the radiology ecosystem.

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**

LLM-PowerHouse is a comprehensive and curated guide designed to empower developers, researchers, and enthusiasts to harness the true capabilities of Large Language Models (LLMs) and build intelligent applications that push the boundaries of natural language understanding. This GitHub repository provides in-depth articles, codebase mastery, LLM PlayLab, and resources for cost analysis and network visualization. It covers various aspects of LLMs, including NLP, models, training, evaluation metrics, open LLMs, and more. The repository also includes a collection of code examples and tutorials to help users build and deploy LLM-based applications.

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.

KG-RAG (Knowledge Graph-based Retrieval Augmented Generation) is a task agnostic framework that combines the explicit knowledge of a Knowledge Graph (KG) with the implicit knowledge of a Large Language Model (LLM). KG-RAG extracts "prompt-aware context" from a KG, which is defined as the minimal context sufficient enough to respond to the user prompt. This framework empowers a general-purpose LLM by incorporating an optimized domain-specific 'prompt-aware context' from a biomedical KG. KG-RAG is specifically designed for running prompts related to Diseases.

This repository focuses on exploring tools that enhance the performance of language models for various tasks. It provides a structured list of literature relevant to tool-augmented language models, covering topics such as tool basics, tool use paradigm, scenarios, advanced methods, and evaluation. The repository includes papers, preprints, and books that discuss the use of tools in conjunction with language models for tasks like reasoning, question answering, mathematical calculations, accessing knowledge, interacting with the world, and handling non-textual modalities.

Grand Challenge is a platform that provides access to large amounts of annotated training data, objective comparisons of state-of-the-art machine learning solutions, and clinical validation using real-world data. It assists researchers, data scientists, and clinicians in collaborating to develop robust machine learning solutions to problems in biomedical imaging.

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.

ABigSurveyOfLLMs is a repository that compiles surveys on Large Language Models (LLMs) to provide a comprehensive overview of the field. It includes surveys on various aspects of LLMs such as transformers, alignment, prompt learning, data management, evaluation, societal issues, safety, misinformation, attributes of LLMs, efficient LLMs, learning methods for LLMs, multimodal LLMs, knowledge-based LLMs, extension of LLMs, LLMs applications, and more. The repository aims to help individuals quickly understand the advancements and challenges in the field of LLMs through a collection of recent surveys and research papers.

The Azure Health Data and AI Samples Repo is a collection of sample apps and code to help users start with Azure Health Data and AI services, learn product usage, and speed up implementations. It includes samples for various health data workflows, such as data ingestion, analytics, machine learning, SMART on FHIR, patient services, FHIR service integration, Azure AD B2C access, DICOM service, MedTech service, and healthcare data solutions in Microsoft Fabric. These samples are simplified scenarios for testing purposes only.

Iffy is a tool for intelligent content moderation at scale, allowing users to keep unwanted content off their platform without the need to manage a team of moderators. It provides features such as a Moderation Dashboard to view and manage all moderation activity, User Lifecycle to automatically suspend users with flagged content, Appeals Management for efficient handling of user appeals, and Powerful Rules & Presets to create custom moderation rules. Users can choose between the managed Iffy Cloud or the free self-hosted Iffy Community version, each offering different features and setup requirements.

Iffy is a tool for intelligent content moderation at scale, allowing users to keep unwanted content off their platform without the need to manage a team of moderators. It features a Moderation Dashboard to view and manage all moderation activities, User Lifecycle for automatically suspending users with flagged content, Appeals Management for efficient handling of user appeals, and Powerful Rules & Presets to create custom moderation rules based on unique business needs. Users can choose between the managed Iffy Cloud or the free self-hosted Iffy Community version, each offering different features and setups.

CISO Assistant is a tool that helps organizations manage their cybersecurity posture and compliance. It provides a centralized platform for managing security controls, threats, and risks. CISO Assistant also includes a library of pre-built frameworks and tools to help organizations quickly and easily implement best practices.

Ollama Colab Integration V4 is a tool designed to enhance the interaction and management of large language models. It allows users to quantize models within their notebook environment, access a variety of models through a user-friendly interface, and manage public endpoints efficiently. The tool also provides features like LiteLLM proxy control, model insights, and customizable model file templating. Users can troubleshoot model loading issues, CPU fallback strategies, and manage VRAM and RAM effectively. Additionally, the tool offers functionalities for downloading model files from Hugging Face, model conversion with high precision, model quantization using Q and Kquants, and securely uploading converted models to Hugging Face.

Open CUAK (Computer Use Agent) is a platform for managing automation agents at scale, designed to run and manage thousands of automation agents with reliability. It allows for abundant productivity by ensuring scalability and profitability. The project aims to usher in a new era of work with equally distributed productivity, making it open-sourced for real businesses and real people. The core features include running operator-like automation workflows locally, vision-based automation, turning any browser into an operator-companion, utilizing a dedicated remote browser, and more.

aiode is a Discord bot that plays Spotify tracks and YouTube videos or any URL including Soundcloud links and Twitch streams. It allows users to create cross-platform playlists, customize player commands, create custom command presets, adjust properties for deeper customization, sign in to Spotify to play personal playlists, manage access permissions for commands, customize bot summoning methods, and execute advanced admin commands. The bot also features a scripting sandbox for running and storing custom groovy scripts and modifying command behavior through interceptors.

Answer anything about SELECT trial

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