AI pioneer Innoplexus and phytopharmaceutical company DrD are partnering toRead More
Partnering to unlock the true potential of cannabis in medical care
Life Science
Can AI-Enhanced Data Analytics Accelerate Clinical Trials?
The success rate of clinical trials carries significant weight in the business of pharma. In addition to dedicating considerable time and effort, the industry spends billions on R&D every year. Clinical development requires optimal decision-making and multiple insights on various parameters, including identifying trial sites, recruiting patients, coordinating logistics, and overseeing research. Adding pressure to …
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How AI Makes Identifying Biomarkers More Accurate and Efficient
Current approaches to drug development that rely solely on identifying statistical differences between healthy and diseased patients to pinpoint biomarkers, molecular targets, or suitable drugs often fail to provide biologically useful results. While these differences can help predict which patients are likely to have misregulation of a particular gene, receptor, or protein, the majority of …
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Leveraging AI to Optimize Clinical Trial Design and Site Enrollment
The request The client wanted help with clinical trial design and assistance with site selection, patient enrollment, and identification of suitable investigators. Background and challenges The client, a mid-sized pharmaceutical company, was entering phase II clinical trials for a drug targeting diffuse large B-cell lymphoma (DLBCL). However, due to limited prior experience clinically developing an …
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Biotech’s Future Success Lies in Innovative Technology and Real-Time Data
Businesses that adapt to current innovations in technology are in a much better position to realize success than those that don’t. No company has ever been able to withhold innovation and thrive. Today, the biotechnology industry faces tremendous challenges, including unsuccessful projects, unexpected terminations, missed deadlines, and high expenditures. Those companies that embrace technological innovations …
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How Will AI Disrupt the Pharma Industry?
There is a lot of buzz these days about how artificial intelligence (AI) is going to disrupt the pharmaceutical industry. At one time a mere idea that was the subject of discussions around its possible and practical uses, these technologies are now a reality that is turning pharma into a more productive industry with game-changing …
Does Your Scientific Narrative Resonate in the Pharmaceutical Ecosystem?
Monitoring the impact of your scientific narrative in real time The term “scientific narrative” refers to the comprehensive communication strategy to position a therapy and sets forth the quintessence of the mission and vision of a particular therapy. It encompasses all attributes of the therapy from scientific data and health economic arguments to clinical practice …
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Uncovering Opportunities in the Pharma Patent Landscape
For the pharmaceutical industry, staying up to date with the ever-changing patent landscape holds the key to better strategizing drug development and drug repurposing, and helps save considerable amounts of money and effort. The pharmaceutical industry is known for its high spends in bringing new therapies to market. In the United States alone, biopharmaceutical companies …
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How Can AI Technologies Help Streamline Medical Affairs Processes?
For pharmaceutical companies, much of the success of a new drug depends on how well it is marketed. There are various stages a drug goes through before reaching the commercialization phase, and, by necessity, focus is placed more on drug development than on marketing. This puts a lot of pressure on commercial teams. They need …
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Using AI to Streamline the Work of Regulatory Affairs
For a pharmaceutical company, one of the most crucial roles in drug approval and marketing is that of regulatory affairs. Their primary role is to keep companies in compliance with changing guidelines, which requires continual monitoring of the latest industry updates. Without the presence of the regulatory team in pharma, even the most highly successful …
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