Sun.Oct 13, 2024

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Exploring the Artificial Intelligence and Its Impact in Pharmaceutical Sciences: Insights Toward the Horizons Where Technology Meets Tradition

Chemical Biology and Drug Design

This review will provide a comprehensive analysis and outlines various state-of-the-art AI/ML techniques to the readers with their framework applications. This review also highlights the challenges in this field which need to be addressed for further successes in pharmaceutical applications. ABSTRACT The technological revolutions in computers and the advancement of high-throughput screening technologies have driven the application of artificial intelligence (AI) for faster discovery of drug mole

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Farma: Speculative Gastronomy

Codon

Xander Balwit , editor-in-chief of Asimov Press, writes about a restaurant that is bullish on GMOs and other food technology for Issue 04. When one considers the millions of permutations of foods and wines to test, it is easy to see that life is too short for the formulation of dogma. — A.J. Liebling, In Between Meals The facade of Farma in San Francisco.

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A Temporary Extension for the Rare Pediatric Disease Priority Review Voucher with a Longer-Term Extension in Sight?

FDA Law Blog: Biosimilars

By Mark A. Tobolowsky — The Rare Pediatric Disease Priority Review Voucher program has had a bit of a tumultuous history in its 12 short years of existence. Designed to incentivize the development of drugs for pediatric rare diseases where such development may not otherwise have occurred, vouchers may be granted for drugs for serious or life-threatening rare diseases where the serious or life-threatening manifestations primarily affect individuals aged from birth to 18 years.

Disease 59
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Hunger Action Month : A Day of Joy and Giving with Perficient India at Ashirwad Sevashram Bangalore

Perficient: Drug Development

September marked Hunger Action Month (HAM), a time to raise awareness and take action to end hunger. At Perficient India, we took this opportunity to contribute to a cause close to our hearts. The Bangalore team came together in an initiative driven by our Employee Resource Group (ERG), collecting and donating an incredible 1,289.7 pounds of groceries to Ashirwad Sevashram, a home for children in need.

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How Machine Learning Drives Clinical Trial Efficiency

Clinical trial data management is increasingly challenging as studies grow in complexity. Quickly accessing and analyzing study data is vital for assessing trial progress and patient safety. In this paper, we explore real-time data access and analysis for proactive study management. We investigate using adverse event (AE) data to monitor safety and discuss a clinical analytics platform that supports collaboration and data review workflows.