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

Collaborating for R&D Success in Drug Discovery

Pharmatica realistic representation of collaboration in drug discovery showing interlocking green and blue puzzle pieces with a DNA helix emerging from their center, capsules in front, a glowing molecular data screen behind, and a 3D molecular model to the right on a bright white background.

Collaboration in drug discovery can shape pharma R&D success. Explore the evidence on pharma partnerships, knowledge sharing, governance, and innovation.

Nicole Dale

RNA Biosensors for Real-Time Diabetes Detection and Monitoring

Realistic Pharmatica image of an RNA biosensor device with glowing yellow RNA helix on microchip, symbolising advanced molecular diagnostics, AI‑powered diabetes monitoring, and precision digital healthcare.

RNA biosensors for diabetes could allow earlier diagnosis and better personalised care. Explore the power of AI monitoring and next-generation molecular diagnostics.

Nicole Dale

AI in GMP Manufacturing: Are Regulators Ready for Digital Factories?

Pharmatica image representing AI in pharmaceutical GMP manufacturing using machine learning, predictive maintenance, digital quality management, continuous manufacturing, and smart pharmaceutical production.

Learn how AI in pharmaceutical GMP manufacturing is improving quality, data integrity, predictive maintenance, and regulatory compliance in modern drug production.

Nicole Dale

Growing Patient and Public Involvement in Clinical Trials

Pharmatica image representing public and patient involvement in clinical trials. Shows a diverse group of clinical trial participants and researchers engaged in collaborative discussion around a bright white table in a modern research environment. A female doctor in a white lab coat leads the conversation, surrounded by older and younger participants of different ethnic backgrounds. Digital screens in the background display molecular structures and clinical data in blue tones, symbolising transparency.

Patient and public involvement in clinical trials improves study design. Learn why better reporting is essential for transparent, patient-centred research.

Nicole Dale

Psychedelic Drug Discovery Gets a New Preclinical Framework

Pharmatica detailed rendering of a neuron firing electrical impulses through dendrites and axons in vivid green tones, symbolising neural connectivity and communication in psychedelic drug discovery, neuroplasticity, 5-HT2A receptor pharmacology, CNS drug development, psychoplastogens, and therapeutic neuroscience research.

Find out how psychedelic drug discovery is evolving through receptor pharmacology, behavioural science, and neuroplasticity to develop safer CNS therapeutics.

Nicole Dale

Google SensorFM: One Trillion Minutes of Wearable AI Data

Pharmatica image representing the Google SensorFM wearable AI foundation model analysing one trillion minutes of wearable health data for digital biomarkers, clinical research, and pharmaceutical innovation.

Google SensorFM was pretrained on over one trillion minutes of wearable data. Discover what this AI foundation model could mean for digital health and pharma.

Nicole Dale

Could Dry mRNA Vaccine Patches Eliminate the Cold Chain?

Pharmatica image representing dry mRNA vaccine patches showing cold chain-free RNA therapeutic delivery, lipid nanoparticle stability, pharmaceutical manufacturing, and advanced vaccine distribution technology.

Discover how dry mRNA vaccine patches could reduce cold chain dependence, improve vaccine stability, and reshape pharmaceutical manufacturing and distribution.

Nicole Dale

The Latest Evidence on Informed Consent in Clinical Trials

Pharmatica image representing informed consent in clinical trials with digital eConsent technology, participant engagement, clinical research ethics, transparent communication, and modern clinical trial management.

A recent systematic review reveals incredible detail about informed consent in clinical trials, participant understanding, and trial quality. Find out now.

Nicole Dale

Using Machine Learning for Lipid Nanoparticle Design

Machine learning for lipid nanoparticles illustrating AI-driven optimisation of lipid nanoparticle formulations for mRNA drug delivery, RNA therapeutics, nanomedicine, and next-generation drug discovery.

Read about machine learning for lipid nanoparticle design used to improve cell, gene, and RNA drug delivery and help optimise next-generation therapeutics.

Shubhangi Dua

Could Biological Ageing Be the Next Big Shift in Drug Discovery?

“The pharma industry is beginning to look at biological age as a surrogate endpoint to improve clinical trials."

Nicole Dale

Anthropic’s Gates Foundation Partnership and Healthcare AI

Pharmatica image of a glass globe illuminated from within by bright yellow light, surrounded by blue data lines, symbolising AI bringing light, intelligence, and innovation to global healthcare through the Anthropic and Gates Foundation Partnership.

See how Anthropic's Gates Foundation partnership and Long-Term Benefit Trust could lead the way in shaping responsible AI governance across healthcare innovation.

Nicole Dale

Can AI and Machine Learning in Sterile Manufacturing Improve Quality?

Pharmatica image representing AI and machine learning in sterile pharmaceutical manufacturing. The image shows precision glass ampoules with a digital data mesh overlay, symbolising AI-driven quality and contamination detection.

Discover how AI/ML in sterile pharmaceutical manufacturing enables predictive maintenance, quality control, contamination detection, and intelligent GMP operations.

Content type

Topic

Articles, expert interviews, and insights from life sciences leaders

How Should Pharma Companies Audit AI Vendors?

Collaborating for R&D Success in Drug Discovery

RNA Biosensors for Real-Time Diabetes Detection and Monitoring

AI in GMP Manufacturing: Are Regulators Ready for Digital Factories?

Growing Patient and Public Involvement in Clinical Trials

Psychedelic Drug Discovery Gets a New Preclinical Framework

Google SensorFM: One Trillion Minutes of Wearable AI Data

Could Dry mRNA Vaccine Patches Eliminate the Cold Chain?

The Latest Evidence on Informed Consent in Clinical Trials

Using Machine Learning for Lipid Nanoparticle Design

Could Biological Ageing Be the Next Big Shift in Drug Discovery?

Anthropic’s Gates Foundation Partnership and Healthcare AI

Can AI and Machine Learning in Sterile Manufacturing Improve Quality?