Pharmatica

In the recent episode of The Clinical Compass podcast, host Shubhangi Dua, Podcast Producer and B2B Journalist, is joined by Dr Amber Hill, Founder and CEO of Research Grid. They talk about how pharmaceutical companies and their leaders should approach the use of AI in clinical trials.

How Should Pharma Companies Audit AI Vendors?

“This is one of the riskiest industries there is because you're dealing with human lives, you're dealing with experimental protocols, and you're dealing with regulatory bodies where you might not get another shot at that clinical trial."

In the recent episode of the Digital Pulse podcast, host Shubhangi Dua was joined by Clara Toombs, Founder at Fertilia AI; Caroline Biddle, Founder at Working Through Fertility; and Dr Divpreet Sacha, Neko Health GP, Co-Founder at HHEI (The Hormonal Health Equity Initiative) and Digital Safety Officer.

In this special Scientific Council Spotlight episode of The Discovery Loop podcast, host Shubhangi Dua, Journalist, Podcast Producer and Podcast Host at Pharmatica.io, sits down with Deepankar Nayak, the CEO of Deep Longevity. Nayak also serves on Pharmatica’s Scientific Council.

In the recent episode of The Discovery Loop podcast, host Shubhangi Dua, Podcast Producer and B2B Journalist at Pharmatica.io, sat down with Diana Andrade, Founder & Managing Director at RD Privacy and Data Protection Officer (DPO) for Biopharma and Life Sciences. They talk about the current state of data protection regulations and how enterprises can innovate responsibly.

In the recent episode of The Chain Reaction podcast, Nour AlSaleh, Founder and CEO of Veragence Pharma Consultancy, sat down with host Shubhangi Dua, Podcast Producer and B2B Journalist at Pharmatica.io and EM360Tech. AlSaleh shares her expertise on maintaining data integrity in this new era of AI and changing policies.

Kate O’Reilly, President & Chair of the Healthcare Businesswomen’s Association (HBA) Dublin-Ireland Chapter & Healthcare Transformation Partner at Roche, discusses AI in pharma, patient engagement, and the future of healthcare innovation.

In the recent episode of the Digital Pulse podcast, host Shubhangi Dua, Podcast Producer and B2B Journalist, sat down with Lara Masad, an AI and Data Innovation independent consultant, to clarify the key distinctions in AI and machine learning models. Furthermore, Masad explains how pharmaceutical companies benefit from using AI models.

Trisha Pillay speaks with Judit Mora, CEO of Nuumad, on Digital Pulse discussing pharmacy innovation, market access barriers, and new models for faster patient access to healthcare.

Exclusive Pharmatica Content

Explore expert-led podcasts, pharmaceutical intelligence, life sciences insights and research-driven analysis from leading industry voices. Pharmatica delivers trusted biotech news, drug development trends and commercial intelligence for professionals across the pharmaceutical sector.

Nicole Dale

Europe’s Life Sciences Strategy. A New Era of Innovation?

Pharmatica picture of European pharmaceutical innovation showing biotechnology research, advanced manufacturing, artificial intelligence, and regulatory collaboration supporting the European Life Sciences Strategy.

The new European Life Sciences Strategy aims to accelerate pharmaceutical innovation through investment, regulatory reform, biotechnology, and AI capabilities.

Nicole Dale

One Global CMC Dossier? Digital Regulatory Submissions

Pharmatica photo‑realistic representation of CMC regulatory submissions showing global data networks, secure digital dossier exchange, and pharmaceutical manufacturing integration — document binders, connected globe, red padlock cybersecurity icon, and industrial equipment with red‑capped vials illustrate digital CMC submissions, regulatory reliance, and manufacturing quality.

Discover how digital CMC regulatory submissions, cloud collaboration, and AI accelerate the modernisation of manufacturing approvals and global pharma operations.

Nicole Dale

Deep Learning in Clinical Trials for 2026 and Beyond

Pharmatica representation of deep learning in clinical trials, especially AI‑driven patient recruitment in clinical trials with a realistic laboratory setting and data visualisations, global site maps, and trial analytics dashboards illustrating machine learning in clinical trials, patient recruitment AI, and adaptive trial design AI.

Deep learning is changing how clinical trials are designed, run, and analysed in 2026. Examine the tools, outcomes, and strategic risks shaping adoption.

Nicole Dale

GLP-1 Drug Discovery Success Transformed Pharmaceutical R&D

Pharmatica photorealistic illustration of GLP-1 drug discovery showing peptide molecules, metabolic signalling pathways, and obesity treatment research in a modern pharmaceutical laboratory.

From gut hormones to global therapeutics, GLP-1 drug discovery transformed obesity treatment through peptide engineering and incretin biology translation.

Shubhangi Dua

Is AI Quietly Creating a GDPR Crisis in Clinical Research?

Generative AI is transforming clinical trials, but a failure to distinguish between pseudonymised and anonymised data is creating costly regulatory gaps.

Nicole Dale

FDA PreCheck Pilot Program to Build Manufacturing Readiness

Pharmatica image of regulatory inspectors reviewing digital drug manufacturing systems in a pharmaceutical production facility, illustrating the FDA PreCheck Pilot Program, manufacturing readiness, U.S. domestic drug manufacturing, and advanced pharmaceutical manufacturing.

The FDA PreCheck Pilot Program aims to strengthen U.S. domestic drug manufacturing through regulatory engagement, manufacturing readiness, and advanced production.

Nicole Dale

AI and Neuroscience. Why Big Pharma Is Betting on the Brain

Pharmatica’s AI in neuroscience graphical concept showing a digital brain connected to pharmaceutical research, precision psychiatry, biomarkers, and advanced artificial intelligence technologies.

AI in neuroscience is driving big pharma investment. Discover how AI neuroscience platforms are driving precision psychiatry and psychedelic therapeutics.

Nicole Dale

FDA Master Protocol Guidance for Smarter Clinical Trials

Clinical research laboratory featuring a Master Protocol document, laboratory samples, and digital analytics, representing clinical trial efficiency for precision medicine research under the FDA Master Protocol guidance.

Explore the FDA's Master Protocol guidance and how basket, umbrella, and platform trials can improve clinical trial efficiency, especially in oncology and biologics.

Nicole Dale

Can Deep Learning Survive the Precision Medicine Paradox?

High‑resolution laboratory data visualisation screen showing molecular structures, DNA helix, and genomic charts in green and sunshine yellow against a clean white background, symbolising precision medicine and advanced drug discovery.

As precision medicine narrows patient cohorts to rare‑disease scales, deep learning models face a paradox of data scarcity and overfitting that threatens the future of clinical AI.

Nicole Dale

Operation TrialBlazer: Can the U.S. Reclaim Clinical Trial Leadership?

Operation TrialBlazer aims to reshape U.S. clinical trials by combining FDA regulatory innovation, digital technologies, and modern trial strategies to reclaim global leadership in pharmaceutical development.

Operation TrialBlazer aims to reignite U.S. clinical development by accelerating trials, modernising FDA oversight, and strengthening pharmaceutical innovation.

Nicole Dale

Genomic Governance Ensures Equity at the Core of Drug Discovery

Scientists analysing diverse genomic datasets to support genomic equity, AI-driven drug discovery, and precision medicine in pharmaceutical research.

Discover why genomic equity is essential for reliable AI-driven drug discovery, precision medicine, and building more representative pharmaceutical innovation.

Nicole Dale

FDA Registration for Drug Manufacturing Enters a New Era

Modern pharmaceutical manufacturing facility with stainless steel equipment, automated vial conveyor, and red digital data wave overlay symbolising FDA regulatory oversight and digital quality systems.

The FDA's proposed drug manufacturing modernisation rule could accelerate distributed manufacturing, digital quality systems, and pharma supply chain resilience.

Content type

Topic

Articles, expert interviews, and insights from life sciences leaders

How Should Pharma Companies Audit AI Vendors?

Europe’s Life Sciences Strategy. A New Era of Innovation?

One Global CMC Dossier? Digital Regulatory Submissions

Deep Learning in Clinical Trials for 2026 and Beyond

GLP-1 Drug Discovery Success Transformed Pharmaceutical R&D

Is AI Quietly Creating a GDPR Crisis in Clinical Research?

FDA PreCheck Pilot Program to Build Manufacturing Readiness

AI and Neuroscience. Why Big Pharma Is Betting on the Brain

FDA Master Protocol Guidance for Smarter Clinical Trials

Can Deep Learning Survive the Precision Medicine Paradox?

Operation TrialBlazer: Can the U.S. Reclaim Clinical Trial Leadership?

Genomic Governance Ensures Equity at the Core of Drug Discovery

FDA Registration for Drug Manufacturing Enters a New Era