Thinking about how pharmacy schools can get GenAI into the mix for training future pharmacists? It’s not about just throwing some AI tools at students and hoping for the best. The real goal is to equip them with the skills to actually use these powerful technologies effectively and responsibly in their day-to-day practice. Think of […]
Risks of hallucinated drug information in pharmacy-facing chatbots
It’s a pretty straightforward concern: what happens when those handy pharmacy chatbots start making things up about medications? The risk of hallucinated drug information from these AI tools in a pharmacy setting is real and has serious implications for patient safety and trust. Chatbots are popping up everywhere, and pharmacies are no exception. The idea […]
GenAI and personalized medicine in pharmacy practice
So, you’re probably wondering how this whole “GenAI” thing is going to shake up your local pharmacy, right? Well, the short answer is: quite a bit, and mostly for the better. Think of GenAI not as some sci-fi robot taking over, but as a really smart assistant that can help pharmacists do their jobs even […]
AI-assisted compounding and formulation design: what is realistic now
Alright, let’s talk about AI in the world of compounding and formulation design. The big question is, what’s genuinely achievable right now with this technology? The short answer is: quite a bit, particularly in speeding up early-stage development, optimising existing formulations, and predicting material behaviour. We’re not at the ‘push a button and a perfect […]
Generative AI for pharmacovigilance: detecting safety signals faster
Generative AI is shaping up to be a pretty powerful tool for spotting those crucial drug safety signals much quicker than before. Instead of sifting through mountains of data manually, these AI systems can help researchers and pharmacovigilance teams get a head start, potentially leading to earlier interventions and better patient protection. Keeping an eye […]
Synthetic control arms and generative AI in clinical trials
Synthetic control arms (SCAs) and generative AI are making some serious waves in clinical trials, and for good reason. They offer exciting possibilities to make trials more efficient, ethical, and ultimately, faster at getting new treatments to patients. Essentially, an SCA uses existing real-world data or simulated data to create a ‘control group’ digitally, rather […]
LLMs in pharmacy operations: medication counseling, reconciliation, and support
The integration of Large Language Models (LLMs) into pharmacy operations is rapidly transforming how medication counselling, reconciliation, and support are handled. In a nutshell, LLMs offer a powerful toolkit for automating routine tasks, enhancing information accessibility, and ultimately freeing up pharmacists to focus on more complex patient care. From drafting initial counselling points to flagging […]
How GenAI is changing drug discovery pipelines in 2026
The landscape of drug discovery is undeniably shifting, and by 2026, Generative Artificial Intelligence (GenAI) will be a core engine driving this transformation. Simply put, GenAI is fundamentally altering how we identify, design, and optimise potential new medicines, speeding up processes that once took years and reducing the staggering costs involved. Instead of simply analysing […]
Generative AI in pharmaceutical development: from empirical screening to predictive design
Generative AI is revolutionising drug discovery, moving us from trial-and-error to intelligent design. Essentially, it’s about teaching computers to create new molecules, predict their behaviour, and optimise drug candidates before they even hit a lab bench. This shift means faster, cheaper, and more effective development of medicines. For decades, drug discovery was a bit like […]
Research gaps in AI for TCM clinical and foundational studies
So, you’re curious about how Artificial Intelligence (AI) is shaking things up in Traditional Chinese Medicine (TCM)? It’s a fascinating area, and when we talk about the research gaps in AI for TCM, we’re essentially asking: where are the blind spots and what do we still need to figure out to make AI a truly […]