Best AI tools for< biomarker discovery >

JADBio is an automated machine learning (AutoML) platform that accelerates biomarker discovery and interpretation for drug discovery and precision medicine. It enables researchers and scientists to analyze multi-omics data, including genomics, transcriptome, metagenome, proteome, metabolome, phenotype/clinical data, and images, to identify biomarkers and gain insights into disease mechanisms and treatment response. JADBio's AutoML platform automates the machine learning process, making it accessible to users with limited technical expertise. It provides a user-friendly interface, pre-built machine learning models, and guided workflows to help researchers quickly and efficiently analyze their data and generate meaningful results.

BenevolentAI is a leader in applying advanced AI to accelerate biopharma drug discovery blending science and technology with a focus on finding solutions for complex diseases. We empower both biopharmaceutical companies and our internal scientists to harness the full potential of data and AI to accelerate the next generation of scientific advances. We have built our AI-enabled drug discovery engine to drive a revolution in drug discovery. The Benevolent Platform™ unlocks the power of a vast biomedical data landscape to provide a multidimensional representation of human biology across all diseases. We believe this approach will improve the probability of clinical success, and help us deliver life-changing treatments to patients – because it matters.

Insight is an AI-powered medical research tool that empowers scientists to navigate literature, formulate hypotheses, and design experiments. It provides access to peer-reviewed databases, including PubMed, NIH Reporter, NIH Clinical Trials, MyGene, and MyVariant, and offers features such as scientific summary generation, hypothesis formulation, experimental design creation, and reliable citations. Insight aims to revolutionize the way research is conducted by providing extreme performance, user-focused data integration, and high-throughput discovery potential.

Attune Health is a mobile application that uses AI-enabled video-based technology to measure your vital signs like blood pressure, oxygen saturation, HRV, stress levels, and even Hemoglobin. With just a simple face scan, you can get accurate measurements of your vital signs without the need for any wearables. The app is easy to use and provides gender-specific results for best accuracy. Your privacy is also guaranteed as no one has access to your data and the analysis runs on your phone, no internet connection is needed.

Beacon Biosignals provides an EEG neurobiomarker platform that is designed to accelerate clinical trials and enable new treatments for patients with neurological and psychiatric diseases. Their platform is powered by machine learning and a world-class clinico-EEG database, which allows them to analyze existing EEG data for insights into mechanisms, PK/PD, and patient stratification. This information can be used to guide further development efforts, optimize clinical trials, and enhance understanding of treatment efficacy.

The National Cancer Institute's Center for Biomedical Informatics and Information Technology (CBIIT) provides a comprehensive suite of tools, resources, and training to support cancer data science research. These resources include data repositories, analytical tools, data standards, and training materials. CBIIT also develops and maintains the NCI Thesaurus, a comprehensive vocabulary of cancer-related terms, and the Cancer Data Standards Registry and Repository (caDSR), a repository of cancer data standards. CBIIT's mission is to accelerate the pace of cancer research by providing researchers with the tools and resources they need to access, analyze, and share cancer data.

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.

InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...

KG-LLM-Papers is a repository that collects papers integrating knowledge graphs (KGs) and large language models (LLMs). It serves as a comprehensive resource for research on the role of KGs in the era of LLMs, covering surveys, methods, and resources related to this integration.

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