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.

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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

Optimising Clinical Trial Data Collection for Better Decisions

Optimising clinical trial data collection Pharmatica image representing fit-for-purpose evidence generation.

Learn how optimised clinical trial data collection improves data quality, reduces protocol and patient burden, and supports smarter clinical development.

Nicole Dale

What Drives Pharmaceutical R&D Success? New Benchmarking Reveals Why Some Drug Pipelines Outperform Others

Pharmatica image showing a pharmaceutical R&D portfolio management meeting reviewing drug discovery pipeline progression, translational science, and pharmaceutical R&D success rates using evidence-based portfolio strategy.

Explore new benchmarking research on pharmaceutical R&D success rates, revealing why some drug pipelines consistently achieve higher approval rates than others.

Nicole Dale

Can Large Language Models Solve More Rare Disease Genomes?

Pharmatica image showing a clinical geneticist using LLM-assisted rare disease diagnosis tools to analyse genome sequencing data and generate evidence-based diagnostic hypotheses for precision medicine.

LLM-assisted rare disease re-assessment improves genomic analysis, increasing diagnostic yield and supporting clinician-led precision medicine and possibly drug development.

Nicole Dale

Modular Pharma Factories: The Next Step for Continuous Manufacturing?

Pharmatica image showing modular pharmaceutical manufacturing using continuous pharmaceutical manufacturing processes, interconnected production modules, and Process Analytical Technology to improve flexible drug manufacturing.

Discover how modular pharmaceutical manufacturing and continuous production could improve flexibility, resilience, and efficiency across modern pharmaceutical operations.

Nicole Dale

FAST-EU Pilot: Can Europe Finally Accelerate Multinational Clinical Trials?

Pharmatica image representing the FAST-EU Pilot supporting multinational clinical trials through coordinated European regulatory collaboration, accelerating clinical trial approvals under the EU Clinical Trials Regulation (CTR).

The FAST-EU Pilot aims to accelerate multinational clinical trials through faster coordinated assessments, supporting Europe’s 2030 clinical research ambitions.

Nicole Dale

Foundational AI In Cell and Gene Therapy Development Success

Pharmatica image representing AI in cell and gene therapy development success through improving drug discovery, viral vector engineering, manufacturing, and predictive quality control.

Discover why AI in cell and gene therapy is necessary for successful development by improving drug discovery, viral vector engineering, manufacturing, and quality control.

Nicole Dale

Success for Non-Animal Testing of Preclinical Toxicity?

Pharmatica hyper-realistic image of a human organ-on-chip platform with cultured cells used for non-animal testing in drug discovery in order to determine preclinical toxicity in a pharmaceutical research laboratory.

Can non-animal testing methods be used in preclinical drug discovery? Here is what the evidence is for their accuracy and limits assessing preclinical toxicity.

Nicole Dale

Eli Lilly and AtaiBeckley: AI and Psychedelic Biotech Converge

Pharmatica image showing an anatomically accurate human brain with subtle neural activation inspired by functional MRI imaging, representing psychedelic biotech, mental health therapeutics, CNS drug discovery, and AI-enabled pharmaceutical innovation.

Eli Lilly's acquisition of Peter Thiel’s backed AtaiBeckley highlights growing investment in psychedelic biotech and the future of CNS drug discovery.

Nicole Dale

Why CMC Strategy Defines Cell and Gene Therapy Success

Pharmatica image of a modern cell and gene therapy manufacturing facility supporting advanced CMC strategy through GMP production, digital process monitoring, pharmaceutical quality systems, and bioprocess innovation.

Cell and gene therapy CMC strategies, quality systems, and manufacturing innovation are critical to advanced therapy development and determine scalability.

Nicole Dale

One Pivotal Trial for FDA Approval? Success Depends on Trial Design

Pharmatica image of a modern pharmaceutical regulatory affairs workspace representing documentation, compliance, and submission processes essential for FDA drug approval. The scene shows three binders labeled “Regulatory Affairs,” “Submissions,” and “Compliance” on a clean office desk with documents and a pen in the foreground, while a blurred meeting of professionals is visible through a glass wall in the background. The composition conveys administrative precision and regulatory science underpinning.

One pivotal trial for FDA approval could accelerate drug development, reshape clinical trial strategy, and change the pharmaceutical regulatory landscape.

Nicole Dale

Great Drug Discovery Starts with Great Scientists

Pharmatica image of a modern pharmaceutical research laboratory representing drug discovery scientists using computational biology, structural biology, medicinal chemistry, and AI-assisted therapeutic research.

Learn how drug discovery scientists are evolving alongside AI, computational biology, and multidisciplinary research to accelerate therapeutic innovation.

Nicole Dale

Claude Science: An Operating System for AI-Driven Pharma R&D

Pharmatica photo‑realistic representation of scientists collaborating in a unified AI‑driven pharmaceutical research environment using Claude Science, integrating genomics, structural biology, cheminformatics, and AI-assisted pharmaceutical research

Claude Science is a new AI R&D tool for drug discovery, integrating 60-plus scientific databases into one place. Here is what pharma R&D teams need to know.

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Topic

Articles, expert interviews, and insights from life sciences leaders

How Should Pharma Companies Audit AI Vendors?

Optimising Clinical Trial Data Collection for Better Decisions

What Drives Pharmaceutical R&D Success? New Benchmarking Reveals Why Some Drug Pipelines Outperform Others

Can Large Language Models Solve More Rare Disease Genomes?

Modular Pharma Factories: The Next Step for Continuous Manufacturing?

FAST-EU Pilot: Can Europe Finally Accelerate Multinational Clinical Trials?

Foundational AI In Cell and Gene Therapy Development Success

Success for Non-Animal Testing of Preclinical Toxicity?

Eli Lilly and AtaiBeckley: AI and Psychedelic Biotech Converge

Why CMC Strategy Defines Cell and Gene Therapy Success

One Pivotal Trial for FDA Approval? Success Depends on Trial Design

Great Drug Discovery Starts with Great Scientists

Claude Science: An Operating System for AI-Driven Pharma R&D