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Crowdsourced science refines AI prediction of clinical trial outcomes

pharmaphorum

The winning team relied on “handcrafted” features that incorporated their own insights into drug development timelines and which data entries should be discarded, according to MIT. The results were interesting, but the team wanted to do better.

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University of Sydney will use AI to boost cancer drug research

Pharmaceutical Technology

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 data entries.

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9 ways pharmacy technician roles are changing

The Checkup by Singlecare

Providing administrative support Pharmacy techs perform data entry 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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How using AI in clinical trials accelerates drug development

Pharmaceutical Technology

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.

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Data integrity considerations in Pharma and Life Sciences

European Pharmaceutical Review

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.

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Intelligent Automation in Pharmaceutical Industry (AI & ML)

PharmaShots

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 data entry.

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Paperless Validation Systems: Truly Paperless?

ISPE

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 compounds data volumes at faster rates than ever before. So, we added another pair of eyes to ensure the data entry is accurate.