AI pioneer Innoplexus and phytopharmaceutical company DrD are partnering toRead More
Partnering to unlock the true potential of cannabis in medical care
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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Better Drug Commercialization Strategies Powered by AI
The drug commercialization process is one of the most important and challenging steps in drug development. Creating a successful strategy rests on guidance provided by reliable data from multiple sources. In an increasingly competitive landscape, pharma companies need powerful solutions that make the commercialization process more efficient and increase the likelihood of success. Today, meeting …
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Revolutionizing Drug Discovery with AI-Powered Solutions
Drug discovery plays a key role in the pharma and biotech industries. Discovering unmet needs, pinpointing the target, identifying the lead, and optimizing the drug development process present significant challenges. Initially, the drug discovery process was more serendipitous rather than a planned process. Today, drug discovery involves a streamlined progression from identification to optimization. It …
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Leveraging the Role of AI for More Successful Clinical Trials
The pharmaceutical industry spends billions on R&D each year. Clinical trials require tremendous amounts of effort, from identifying sites and enrolling patients to overseeing research functions and coordinating trial logistics. Trials often run over budget or are delayed because of a number of factors, such as an inadequate number of patients available for the study, …
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How a self-learning Ontology benefits Pharma and Life Sciences
Every domain has its own language. The same word used in different domains can have totally different meanings. In fact, the same word can mean two separate things for different subdomains, eg. in science, hedgehog is both animal and protein. Moreover, domain language is dominated by abbreviations and terminology used by researchers and experts. A …
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What is unstructured data?
Did you write a mail today? Or did you use facebook, twitter, or Instagram? Regardless, chances are high that you produced some so-called unstructured data. But, what exactly is unstructured data? Unstructured data is digitized information that is available in a non-formalized structure. It is not relational and is not organized in a uniform, pre-defined …
Extracting Medical Data with Computer Vision Technology
Computer vision is one such AI technology that has seen exponential breakthrough over the last few years. Today, the technology is being realized in many forms and to solve various problems across different industries. Besides its very popular application in facial recognition and driverless cars, one of the attractive uses of computer vision is data …
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