AI For Pharma Growth

Healthcare accessibility is still being held hostage by phone queues, missed calls, and clunky portals. In this episode, Dr Andree Bates sits down with Josh Taylor of TxtSquad to explore why simple, secure texting can remove friction for patients and providers, and how AI can support the conversation without making care feel robotic.
Josh explains why SMS works where apps often fail: it is familiar, low effort, and asynchronous. That means patients can reply on their own time, while care teams can manage conversations in a way that fits real clinic workflows instead of forcing everyone into yet another platform.
They dig into the pharma and adherence angle too. Josh shares how two-way messaging helps teams move beyond generic reminders and uncover the real reasons people stop taking medication, opening the door to earlier support, smarter interventions, and better outcomes.
Finally, Josh outlines where AI adds value inside messaging: triage for common questions, translation, summarisation, and staff copilots. He also highlights the importance of compliance, clear boundaries, and human oversight when dealing with sensitive health information. The future, he suggests, is smarter communication across SMS, voice, and phone-based assistants, designed to meet patients where they already are.

Topics Covered
Why portals and apps struggle with adoption in healthcare

SMS as a low-barrier, asynchronous engagement channel

Building a two-way patient to provider communication loop

Medication adherence: understanding drop-off, not just sending reminders

Patient assistance programmes and support at scale

Clinical trial recruitment and retention using messaging

AI in messaging: triage, translation, summarisation, and staff copilots

Compliance considerations and handling sensitive information

What comes next: voice agents and deeper integration with phone workflows

About the Podcast
AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.
This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.
AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.
As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.
This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business
Dr. Andree Bates LinkedIn | Facebook | X

As artificial intelligence becomes increasingly woven into everyday life, the real question isn’t just what AI can do — it’s what it should do for humans. In this episode, Dr Andree Bates interviews Dr Morteza Zihayat of Heisenberg Network to explore Human-Centred AI: designing intelligent systems that prioritise welfare, autonomy, dignity and trust over pure technical capability.

Morteza explains how his background in data mining led to a key insight: numbers can be incredibly powerful, but they still “miss the mark” when human values are ignored. That perspective shaped his work in Human-Centred AI and helped inspire Heisenberg Network, a decentralised infrastructure designed to transform fragmented, messy data into high-quality, AI-ready intelligence — in minutes rather than weeks — while dramatically reducing cost.

The conversation digs into what human-centred design looks like in practice. Morteza introduces a “ladder of priorities” to manage conflicting values — from safety and laws at the top, through ethics and platform policies, down to individual preferences — and argues that making this ladder public gives people a right to debate and appeal decisions when something feels wrong.

Finally, Morteza tackles the unavoidable trade-offs between performance and fairness, sharing a real example from mental health research where reducing model accuracy produced a fairer system that clinicians felt more comfortable using. His key message is urgent: powerful AI is coming either way — making it human-centred is a choice we need to commit to now, with transparency becoming non-negotiable.
Topics Covered
What Human-Centred AI means in practice

Turning user stories into concrete design checks

The “ladder of priorities” for managing conflicting values

Designing systems for welfare, autonomy, dignity and trust

Power caps and keeping AI controllable

Personalisation vs wellbeing (and avoiding filter bubbles)

Where bias enters: data, models, and feedback loops

Debiasing pipelines and fairness as real-world data shifts

Learning from users without storing raw personal data

Explainability challenges with reasoning models

Why transparency is becoming non-negotiable

When less accuracy can be the more responsible choice

About the Podcast
AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.
This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business.

Dr. Andree Bates LinkedIn | Facebook | X

Designing proteins that have never existed in nature is no longer sci-fi — it’s becoming a real drug discovery strategy. In this episode, Kashif Sadiq, Founder & CEO of DenovAI Biotech, explains how AI is powering a shift from searching for biologic binders to intentionally designing new proteins from scratch.
Kashif shares his journey from studying physics at University of Cambridge into computational biophysics, and how breakthroughs like AlphaFold from DeepMind helped unlock the next frontier: de novo protein design. Instead of hoping evolution has already produced a usable molecule, Kashif describes how modern AI can engineer bespoke proteins for specific functions, including challenging targets where traditional approaches come up short.
The conversation dives into the sheer scale of “protein space” and why evolution has only explored a tiny fraction of what’s possible. Kashif outlines how this opens the door to targeting diseases and biological mechanisms that have historically been considered undruggable, especially where flat protein interfaces or complex signalling pathways have made small molecules ineffective.
Finally, Kashif explains why combining generative AI with physics-based methods is essential to reduce false positives, improve real-world binding performance, and enable “one-shot design” — where discovery and optimisation become a single integrated process. He also shares what keeps him up at night: clinical trial attrition — and why designing better earlier may be the key to improving success later.
Topics Covered
De novo protein design vs traditional biologics discovery

Why evolution explored only a tiny fraction of protein space

“Programmable biologics” and intentional molecular design

Alpha Design and designing proteins from the inverse problem

Antibodies, nanobodies, and therapeutic protein engineering

Combining generative AI with physics-based validation

Reducing false positives in protein binding predictions

“One-shot design” and compressing discovery timelines

Undruggable targets, flat interfaces, and intracellular signalling

Clinical trial attrition and what’s missing at the preclinical stage

When the first de novo-designed therapeutic could enter trials

About the Podcast
AI for Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr Andree Bates, created to help pharma, biotech and healthcare organisations understand how AI-based technologies can save time, grow brands, and improve company results.
This show blends deep sector experience with practical, no-fluff conversations that demystify AI for biopharma execs — from start-up biotech right through to Big Pharma. Each episode features experts building AI-powered tools that are driving real-world results across discovery, R&D, clinical trials, market access, medical affairs, regulatory, insights, sales, marketing, and more.

Dr. Andree Bates LinkedIn | Facebook | X

Large Language Models (LLMs) are moving far beyond text generation—and into the heart of scientific discovery and pharmaceutical research. In this episode, Javier Tordable, founder and CEO of Pauling.ai and former Google technologist, explains how agentic AI systems are transforming early-stage drug discovery.
Javier shares how modern LLMs differ from earlier generations, highlighting their ability to perform autonomous, multi-step scientific workflows rather than isolated tasks. These AI agents can read and synthesize massive volumes of scientific literature, generate novel hypotheses, validate ideas against published research, and accelerate computational chemistry simulations that once took months or years.
The discussion dives into how LLMs are being used today to identify drug targets, design molecules, optimize clinical trials, and reduce manual scientific labor, while still preserving the critical role of human creativity and experimental validation. Javier also addresses the real risks—hallucinations, data quality, reproducibility—and why hybrid AI + physics-based approaches are essential for trustworthy results.
This episode is a must-listen for researchers, founders, and operators exploring LLMs in biotech, pharma AI, scientific automation, and computational drug discovery.
Topics Covered
Large Language Models (LLMs) in science and pharma
AI agents and autonomous research workflows
Early-stage drug discovery acceleration
Computational chemistry and molecular simulations
AI-assisted literature review and hypothesis generation
Clinical trial optimization with AI
Reducing R&D timelines and operational bottlenecks
Risks, hallucinations, and validation in scientific AI

About the Podcast
AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.

This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Dr. Andree Bates LinkedIn | Facebook | Twitter

Artificial intelligence is rapidly reshaping the pharmaceutical industry—and nowhere is that more evident than in small-molecule drug discovery. In this episode, we sit down with Tom Shani, CEO and co-founder of ProPhet, an AI-driven biotech company focused on discovering drugs for hard-to-target proteins.
Tom explains how machine learning models, transformers, and AI-driven molecular representations are overcoming the biggest limitations of traditional drug discovery: slow timelines, high failure rates, missing data, and billion-dollar R&D costs. Rather than relying solely on physics-based simulations and trial-and-error lab work, AI systems learn patterns directly from noisy biological data—making them uniquely suited for real-world biology.
The conversation explores how AI can compress drug discovery timelines from decades to years, reduce failed trials, and dramatically lower costs by improving early-stage target and molecule selection. Tom also breaks down why small molecules remain the backbone of modern medicine, how AI enables scalable exploration of vast chemical space, and why trust, regulation, and validation remain the biggest hurdles to adoption.
This episode is essential listening for anyone working in pharma R&D, biotech, AI-driven drug discovery, computational biology, or life sciences innovation.
Topics Covered
AI-powered small-molecule drug discovery
Machine learning vs traditional pharmaceutical R&D
Hard-to-drug proteins and undruggable targets
Transformers, AlphaFold, and molecular representations
Reducing drug discovery timelines and costs
AI robustness to missing and noisy biological data
Off-target effects, toxicity, and safety prediction
The future of AI in pharma and biotech startups

About the Podcast
AI for Pharma Growth is a podcast focused on exploring how artificial intelligence can revolutionise healthcare by addressing disparities and creating equitable systems. Join us as we unpack groundbreaking technologies, real-world applications, and expert insights to inspire a healthier, more equitable future.
This show brings together leading experts and changemakers to demystify AI and show how it’s being used to transform healthcare. Whether you're in the medical field, technology sector, or just curious about AI’s role in social good, this podcast offers valuable insights.

AI For Pharma Growth is the podcast from pioneering Pharma Artificial Intelligence entrepreneur Dr. Andree Bates created to help organisations understand how the use of AI based technologies can easily save them time and grow their brands and business. This show blends deep experience in the sector with demystifying AI for all pharma people, from start up biotech right through to Big Pharma. In this podcast Dr Andree will teach you the tried and true secrets to building a pharma company using AI that anyone can use, at any budget.

As the author of many peer-reviewed journals and having addressed over 500 industry conferences across the globe, Dr Andree Bates uses her obsession with all things AI and futuretech to help you to navigate through the, sometimes confusing but, magical world of AI powered tools to grow pharma businesses.

This podcast features many experts who have developed powerful AI powered tools that are the secret behind some time saving and supercharged revenue generating business results. Those who share their stories and expertise show how AI can be applied to sales, marketing, production, social media, psychology, customer insights and so much more.

Dr. Andree Bates LinkedIn | Facebook | Twitter