Advancing Drug Discovery Through Innovative Technologies & Strategic Collaboration
A Concise Report Featuring Insights From The Prominent Thought Leaders Of Discovery & Automate 2024
Paving the Way For Animal Free Models by Leveraging 3D Cell Culture, Organoids & Organ Modelling
A Concise Report Featuring Insights From The Prominent Thought Leaders Of 3D Cell Culture & Organ Modelling 2024
Top R&D Stories of 2023
Through captivating articles, insight pieces, and spotlight interviews, we delve into the remarkable innovations, breakthroughs, and scientific marvels that have defined the landscape of research over the past year.
Molecular Drug Design
Using Breakthrough Computational Tools for Drug Design and Discovery: AI/ML and Quantum Computing
How quantum annealers, which use quantum mechanics to solve optimisation problems by finding the lowest energy state of a system, are being used for drug discovery.
Chemical Biology
Interview with Felix Hausch, Professor for Structure Based Drug Research at TU Darmstadt
Felix will deliver his presentation 'Clues for Molecular Glues' at Drug Discovery Europe 2023.
Molecular Drug Design
Using ML with DEL: Philogen and Google Partner in New Study
The partnership has developed a new machine learning assisted-technique for DEL screening.
Interview with Nicolas Vachicouras, CEO, Neurosoft Bioelectronics: Subdural Brain Interfaces
Talking with Nicolas Vachicouras, CEO of Neurosoft Bioelectronics about their subdural brain interface and its inaugural clinical testing for recording the human brain in the context of an epilepsy resective surgery.
Interview with Valentina Mosienko, Fellow and Lecturer in Neuroscience, University of Bristol
Navigating the neuroscientific pathways for anxiety towards druggable targets.
Molecular Drug Design
Revolutionary Organ Transplant Selection with Artificial Intelligence
A new Artificial Intelligence (AI) method enables scientists to cherry-pick organs for transplant.
Pharma Data
“When Data Lakes Become Data Swamps”: Avoiding the Pitfalls of Data Regret by Implementing a Connected Data Ecosystem
The implementation of a streamlined and connected data ecosystem is critical to the transformation of healthcare technology and circumventing data regret.
Molecular Drug Design
AI Model Signifies 'Paradigm Shift' for Traumatic Brain Injury Risk
A new AI model shows promise for providing insights into long-term traumatic brain injury risk by accurately modelling the deformations that lead to brain damage.
Pharma Data
Regulation & Policy Interview with Damion Nero, Head of Data Science at Takeda
Damion Nero, Head of Data Science at Takeda, discusses the regulatory challenges and opportunities of Real-World Data.
Molecular Drug Design
Computational Drug Design: Applications of AI and Machine Learning in Development
Recent advances in AI and machine learning have huge potential to improve the accuracy and speed of drug design. This discussion group report explores some of the current applications of different AI/ML approaches, including deep learning techniques.