
AI pioneer Innoplexus and phytopharmaceutical company DrD are partnering toRead More
AI pioneer Innoplexus and phytopharmaceutical company DrD are partnering toRead More
Jun 23
Feb 23
Innoplexus wins Horizon Interactive Gold Award for Curia App
Read MoreThe pharmaceutical industry is facing a pivotal time in the evolution of clinical research and trials. Emerging technologies with unprecedented potential are improving trial efficiency, safety, and accuracy. Improved methods of data collection and handling are at the forefront of these developments, leading to better procedures and enhanced outcomes.
Real-time data makes a huge difference. The large volume of scientific and medical data today is doubling at a faster rate than ever before, so analyzing this data in real-time is crucial to gaining knowledge and deriving value. The better the insights the more informed and successful are the decisions.
Miscalculations can result in heavy losses especially in drug development. Leveraging AI-enabled tools can reduce risk. AI technologies can ensure that the data generated from clinical trials and research is utilized optimally. Through the creation of a central repository, data from new studies, literature, events or news around a particular indication or intervention can be captured for analysis and insight generation, which is crucial to successful development.
Technology, particularly AI, is transforming how the industry researches and develops new interventions, reduces costs and improves patient outcomes. AI is also creating a new normal where every stakeholder is always informed in almost real-time, acting faster on insights and results, leading to efficient development and investment opportunities.
The value of tracking research as well as trials in real time could impact the quality of data being generated, decisions taken, and rate of successful developments in the coming years.
The cost of developing a new drug roughly doubles every nine years (inflation-adjusted) aka Eroom’s law.As the volume of data…
There was a time when science depended on manual efforts by scientists and researchers. Then, came an avalanche of data…
Collaboration with key opinion leaders and influencers becomes crucial at various stages of the drug development chain. When a pharmaceutical…
Data are not the new gold – but the ability to put them together in a relevant and analyzable way…
Artificial intelligence, or AI, is gaining more attention in the pharma space these days. At one time evoking images from…
Artificial intelligence (AI) is transforming the pharmaceutical industry with extraordinary innovations that are automating processes at every stage of drug…
There is a lot of buzz these days about how artificial intelligence (AI) is going to disrupt the pharmaceutical industry….
Drug discovery plays a key role in the pharma and biotech industries. Discovering unmet needs, pinpointing the target, identifying the…
The pharmaceutical industry spends billions on R&D each year. Clinical trials require tremendous amounts of effort, from identifying sites and…
Training algorithms to identify and extract Life Sciences-specific data The English dictionary is full of words and definitions that can be…
The early 1970s introduced the world to the idea of computer vision, a promising technology automating tasks that would otherwise…
Summary:AI could potentially speed drug discovery and save time in rejecting treatments that are unlikely to yield worthwhile resultsAI has…