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The integration of genomics into patient care will lead to more precise, personalised treatments. In this Q&A, Hylton Kalvaria, Chief Commercial Officer of Helix, explains how the Helix Research Network is creating a large-scale clinicogenomics dataset to advance research into molecular and genetic determinants of disease risk and drug response.
Discover how Cue Biopharma harnesses the curative potential of the body’s intrinsic immune system to develop treatments for oncology and autoimmune diseases. Here, Anish Suri, Chief Scientific Officer of Cue Biopharma, explains how its platforms and biologics are designed to selectively modulate disease-specific T cells to restore immune balance, aiming…
There have been a slew of announcements over the past few months from AI-led biotechs around the potential of Large Language Models (LLM) in early drug discovery. In the third of a three-part series, Dr Raminderpal Singh presents some pragmatic guidelines for scientists in accessing and obtaining value from LLMs.
As part of our series highlighting women in STEM, we spoke to Juliet Williams, Head of Research at Kymera. She discusses what inspired her early passion for science, the power of mentorship and what excites her most about the future of targeted protein degradation – and its potential to deliver…
In this exclusive interview with Elicio Therapeutics, we explore the transformative potential of liquid biopsy in oncology drug development, particularly spotlighting its application in Elicio’s AMPLIFY-201 study of ELI-002, a promising therapeutic cancer vaccine candidate.
In this Q&A, Sheila Keating, Vice President of Immunology at GigaGen, a Grifols company, explains how its developments in recombinant polyclonal antibody therapies are helping to build a pipeline of highly effective treatments for a wide range of diseases, including the hepatitis B virus.
Recently there has been a flurry of announcements from AI-led biotechs around the potential of Large Language Models (LLM) in early drug discovery. In the second of a three-part series, Dr Raminderpal Singh presents an example of usage of ChatGPT, which demonstrates how accessible LLMs have become for lab scientists.
At the heart of precision oncology is the need to increase our understanding and knowledge of surface proteins found on tumour cells. Here Roman Thomas, CEO of DISCO Pharmaceuticals, explains how it is using cutting-edge technology to explore the surfaceome – a map of the proteins on the cell’s surface…
Understanding how MMR-deficient colorectal cancers drive tumour growth and avoid immune detection could pave the way for personalised cancer medicine.
Human brain organoids are complex in vitro tools derived from stem cells, designed to model the molecular basis of neurodevelopment and the pathogenesis of neurological disorders. By mimicking the function of the human brain, in both health and disease, their application in drug discovery holds significant potential for identifying new…
We had the privilege of speaking to Morgane Rousselot, co-founder and CEO of SeaBeLife for our Women in Stem series. With a strong scientific background and over two decades of entrepreneurial experience in the biotechnology field, she leads the company with a team-focused approach and intellectual rigor.
This Q&A with Dr Hernan A Bazan, CEO and Co-founder of South Rampart Pharma, Inc, discusses the potential merits of novel non-opioid analgesic SPR-001, which is Phase II-ready for acute and neuropathic pain and migraines. Its benefits mean it is poised to disrupt the $87 billion pain management market and…
We had the privilege of speaking to Cellarity’s CEO, Fabrice Chouraqui, about how the company is leveraging AI to completely revolutionise the drug discovery process and unlock treatments for a vast array of diseases, even in the absence of known targets.
Recently there have been a flurry of announcements from AI-led biotechs around the potential of Large Language Models (LLM) in early drug discovery. In the first of a three-part series, Dr Raminderpal Singh explores what LLMs are, how early stage biotechs can take advantage of them, and what challenges they…
Traditional wet lab scientists working on target discovery, drug identification and drug optimisation have an opportunity to catch up with their AI-enabled peers – but why should they, and how? In this article – the third of a three-part series – Dr Raminderpal Singh touches on the decisions that need…
