March 2023
Intermediate to advanced
448 pages
12h 40m
English
book
Bioinformatics Tools for Pharmaceutical Drug Product Development
by Vivek Chavda, Krishnan Anand, Vasso Apostolopoulos
Content preview from Bioinformatics Tools for Pharmaceutical Drug Product Development
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
17Future Prospects and Challenges in the Implementation of AI and ML in Pharma Sector
Prashant Pokhriyal1, Vivek P. Chavda2 and Mili Pathak1*
1Process Science, Intas Pharmaceuticals Ltd. (Biopharma Division), Ahmedabad, Gujarat, India
2Department of Pharmaceutic and Pharmaceutical Technology, L. M. College of Pharmacy, Ahmedabad, India
Abstract
Drug manufacture is among the most significant businesses on the planet. For long, this business has been a key productive member of society, and it will remain to be for several years to come. It’s difficult to fathom living without pharmaceuticals that treat ailments and enable people live longer, better lives. Drug industry must improve their manufacturing techniques in order to guarantee that operation is both efficient and robust. Artificial intelligence may assist by offering a third-party view on how the medication manufacturing process should be run and recommending improvements in equipment for optimal efficiency. It’s vital to get through the jargon and cacophony as we approach closer to a future where AI/ML is more integrated into R&D. When forming judgments regarding data, it’s also critical to remember that the scientific process isn’t defunct. This will aid in distinguishing hope from hype and lead to more informed decisions on the best use of AI/ML in drug research. However, there are many challenges and hurdles to be handled for the successful AI/ML implementation in pharmaceutical industry.
Keywords: Artificial intelligence ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.