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Digital Medicine and Pharmaceuticals.Modern Medical Technology and Drug Development

Early evidence and emerging trends: How AI is shaping drug discovery and clinical development

11 April 2025 | By Alessio Zoccoli, Carlos N Velez, Remco Jan Geukes Foppen, Vincenzo Gioia

Drug development is plagued by high costs, long timelines and low success rates, but what if AI could change that? Read on to discover real-world examples and explore the transformative potential of AI in drug development.

Science technology concept. A male scientist with the vaccine in the laboratory

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The evolution of AI in drug discovery: learning from history’s mistakes (Part 2)

24 March 2025 | By Dr Raminderal Singh (Hitchhikers AI and 20/15 Visioneers, Sujeegar Jeevanandam - Principal Consultant - Zifo RnD Solutions

In this second part of a two-part series, we continue Sujeegar Jeevanandam’s exploration of the future of AI in drug discovery. We share his vision for transformative AI applications, such as simulating human pharmacokinetics and pharmacodynamics, and offer strategic recommendations for biotechs looking to adopt AI.

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Beyond the Lab: Artificial Intelligence

21 March 2025 | By Drug Target Review

Download our latest report to discover how AI is transforming drug discovery, accelerating treatments and driving personalised care.

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First AI-designed drug, Rentosertib, officially named by USAN

14 March 2025 | By Drug Target Review

Insilico Medicine’s AI-designed drug for idiopathic pulmonary fibrosis (IPF), Rentosertib, has been granted an official name by USAN. This is the first drug where both the target and compound were discovered using generative AI, marking a major milestone in AI-driven drug development.

Research and development of drug design. Researchers have used Artificial intelligence technology AI to help simulate design and develop drugs. Medical, pharmaceutical, and scientific research

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The evolution of AI in drug discovery: learning from history’s mistakes (Part 1)

14 March 2025 | By Dr Raminderpal Singh (Hitchhikers AI and 20/15 Visioneers), Sujeegar Jeevanandam - Principal Consultant - Zifo RnD Solutions

AI is transforming drug discovery, but its adoption mirrors past technological shifts in the industry. In this first part of a two-part series, we reveal Sujeegar Jeevanandam’s observations of the parallels between AI and the electronic lab notebook revolution, highlighting key challenges, lessons learned, and what the future holds for…

Medicine and Pharmaceuticals.Modern Medical Technology and Drug Development

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Navigating the AI revolution: a roadmap for pharma’s future

13 March 2025 | By Alessio Zoccoli, Carlos N Velez, Remco Jan Geukes Foppen, Vincenzo Gioia

AI-driven drug development, powered by advanced models and expanding data access, is becoming a reality. Learn why navigating regulatory hurdles and mastering biology’s inherent complexities are crucial to fully unlocking its potential.

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Large language models: now more affordable and reliable than ever

24 February 2025 | By Dr Raminderal Singh (Hitchhikers AI and 20/15 Visioneers

In this article, Dr Raminderpal Singh explores the transformative impact of the Deepseek R1 open-source large language model on drug discovery. Its potential offers exciting opportunities for both scientists and software developers, marking a significant advancement for the life sciences community.

Medical technology concept. Remote medicine. Electronic medical record.

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Scientific workflow for hypothesis testing in drug discovery: part 3 of 3

14 February 2025 | By Dr Raminderpal Singh (Hitchhikers AI and 20/15 Visioneers), Nina Truter

Drug discovery scientists develop and test complex hypotheses using data and expertise, and build workflows to support this. In this third and final article, Dr Raminderpal Singh and Nina Truter summarise the tools used in the scientific workflow – and include key considerations.

close up senior woman hold on hand to relief shaky symptom while drink water for Parkinson’s disease and chronic illness health care concept

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The Michael J Fox Foundation for Parkinson’s Research awards grant to Grifols for pioneering study

23 January 2025 | By Drug Target Review

Grifols has received a $21 million grant from The Michael J. Fox Foundation to fund a pioneering study aimed at identifying early biomarkers for Parkinson's disease (PD).

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UVA’s computer models target antibiotics to combat resistance

22 January 2025 | By Drug Target Review

Researchers at the University of Virginia School of Medicine have developed computer models to create more targeted antibiotics. This approach aims to fight antibiotic resistance by focusing on specific bacteria in different parts of the body, reducing the reliance on broad-spectrum antibiotics.

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How AI will reshape pharma in 2025

20 December 2024 | By Carrie Haslam

AI is set to transform drug development in 2025, streamlining processes and opening new possibilities. Learn how this technology is transforming clinical trials and reshaping the pharmaceutical industry.

Scientist computing, analysing and visualizing complex data set on computer.

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The paradox of data in precision medicine

28 November 2024 | By Stavros Papadopoulos

The path to faster breakthroughs in precision medicine begins with overcoming the complexities of multi-modal data. Discover how innovative solutions are enabling more personalised treatments.

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The Pistoia Alliance: key findings on AI

1 October 2024 | By Drug Target Review

Results from Pistoia Alliance’s Lab of the Future survey has shared important findings about the challenges life science companies face.

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Part two: the impact of poor data quality

26 August 2024 | By Dr Raminderpal Singh (Hitchhikers AI and 20/15 Visioneers)

In this four-part series, Dr Raminderpal Singh will discuss the challenges surrounding limited data quality, and some pragmatic solutions. In this second article, he discusses the problems that occur when using data of poor quality.

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Part one: an introduction to data quality

14 August 2024 | By Dr Raminderpal Singh (Hitchhikers AI and 20/15 Visioneers)

In this four-part series, Dr Singh will discuss the challenges surrounding limited data quality, and some pragmatic solutions. In this first article, the key attributes that define data quality and its requirement for data scientists are elucidated.

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