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The winning team relied on “handcrafted” features that incorporated their own insights into drug development timelines and which dataentries should be discarded, according to MIT. The results were interesting, but the team wanted to do better.
The university and Pharos have drawn up a memorandum of understanding (MoU) to use AI technology to identify potential compounds for the rapid development of treatments. It is focused on the development of new compounds. It will provide the drug discovery initiative access to advanced algorithms and 230 million big dataentries.
Once the target is identified, researchers work to develop a compound that can interact with it. After a promising compound has been identified, it’s tested in preclinical models to evaluate its safety and efficacy. AI also helps in interactions with patients, as it can be used for automating patient recruitment and data collection.
With the proliferation of digital tools, systems and platforms, it has become difficult to ensure the integrity of data throughout its lifecycle. This challenge is further compounded by the evolving regulatory landscape, requiring stringent data integrity requirements to be met.
Major companies use this approach to find the right compound and check its effects on patients based on biological factors. In such cases, companies may initially begin by infusing small aspects of Robotic Process Automation (RPA) into essential areas like R&D, clinical trials, and patient dataentry.
This sprawl of data across the life sciences industry perpetuates the ever-growing archival and data retention issue that so many organizations struggle with because it compoundsdata volumes at faster rates than ever before. So, we added another pair of eyes to ensure the dataentry is accurate.
Providing administrative support Pharmacy techs perform dataentry tasks, such as entering prescriptions into a patient record and updating insurance information in pharmacy management systems, says Dr. Staiger. RELATED: COVID-19 tips for pharmacists 9.
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