QIAGEN Digital Insights is a broad bioinformatics platform with expert-curated solutions for genomic and clinical research. It includes tools like Ingenuity Pathway Analysis and Genomics Workbench Premium for annotating, filtering and triaging variants, and it integrates with more than 40 databases. With a large knowledge base and years of use in biomarker and target discovery, it can deliver high-quality molecular insights for deeper research and clinical use.
Another option is JADBio, a no-code machine learning platform that automates biomarker discovery and interpretation. It can process multi-omics data and includes tools like AutoML and feature interpretation. JADBio is good for researchers studying many health conditions, including cancer and metabolic disease, and can accelerate early biomarker discovery and disease subtype identification.
If you're in biotech trying to find new drugs and explore chemical space, Genesis Therapeutics' GEMS platform is worth a look. The AI-based system uses deep learning and molecular simulations to predict properties and generate molecules. It can help researchers design high-potency and selective small molecule drugs, a key part of finding new protein targets and developing drugs for diseases like Alzheimer's and ALS.