An application that helps the user to quickly and easily upload and organize multi-dimensional data on a cloud-based data lake. The application includes built-in quality control criteria which allow users to check the conformity of data.

Study managers, clinical operation managers, clinical research coordinators, scientists, clinical investigators, clinicians, oncologists, cancer researchers, principal investigators, lab personnel, bioinformaticians

• As the target lead or a therapeutic combination moves from preclinical testing to more advanced phases of clinical trials investigators invariably generate increasingly large and complex data sets. The depth and breadth of this information can get infinitely large and complex as multiple data points start pouring in from several sources. For instance, sequencing data alone can require several gigabytes (GB) of storage making it impossible for the user analyzed the data on personal computers.
• Since a large majority of clinical trials are conducted in medical centres located across the globe, it becomes increasingly challenging to organize and assemble data according to a unified classification scheme. This also generates the need for multiple iterations of data entry, downloads, uploads, and analysis within variable clinical trial management informatics platforms globally dispersed across many medical centres. This can lead to mistakes in labelling, tracking, storage, analysis, and interpretation of clinical data – costing sponsors thousands of wasted man-hours and research dollars.
• Mid-study changes in protocols, switching of biospecimen vendors, transfer of ongoing trials to different clinical research organizations (CROs), new scientific innovations, evolving federal authority requirements, and incompatibilities between software platforms used at medical centres can compound these problems and can introduce long delays in the process.

• iUploader is an AI-powered platform that seamlessly executes data parsing and manipulation procedures as the data is being uploaded onto the platform. It enables faster data transfers by systematically classifying and organizing information according to the type of data.
• It allows laboratories, sites, vendors to upload, store, share and transfer the data in a central-cloud based repository so that researchers have instant access to raw data. The highly secure cloud-based data transfer platform offers compliance with HIPPA and 21 CFR part 11 norms.