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
$1.2m Quantum Computing Drug Discovery Grant Secured by Penn State Researchers
The grant will help researchers tackle diseases like cancer using quantum computing drug discovery
Molecular Drug Design
AI/ML Approaches in Drug Development: Applied Machine Learning in Clinical Trials
The focus in the pharmaceutical industry has been, and will remain, on generating cheaper and more detailed data through the applications of AI/ML techniques which can be interpreted more easily.
Molecular Drug Design
Alphabet’s Calico and Terray Tx Announce Partnership to Tackle Age Related Disease
A partnership between computational drug discovery company Terray and Alphabet's Calico will focus on new therapies to fight age related disease.
Molecular Drug Design
Orion Granted €10m to Build AI-Based ‘Research Ecosystem’ in Finland
A Finnish government agency has awarded the pharma company €?10 million to invest in their research ecosystem utilising AI and data science.
Pharma Data
Biobank Frameworks: Utilising Federated Machine Learning to Augment Data Solutions
Data quality, bias, and standardisation are all important to account for when planning for federated and non-federated learning factoring in recurrent neural networks. Biobank frameworks offer the opportunity to augment healthcare data through the appropriate implementation of machine learning.
Pharma Data
Real-World Data in Real-World Applications: Informing Future Approaches to Healthcare Provision and Drug Development
If some gaps in patient data are inevitable, then the use of RWE and RWD presents an opportunity to fill them in synthetically. Coordinated data sharing is an important aspect of consistent RWD usage.
Medicinal Chemistry
Bicycle Therapeutics Publishes Preclinical Data from Nectin-4 Targeting Cancer Drug
A paper published in the Journal of Medicinal Chemistry highlights Cambridge, UK based biotech, Bicycle Therapeutics’ findings regarding bicycle toxin conjugate, BT8009.
Medicinal Chemistry
Shooting for the StaRs: Stabilising GPCRs and Mapping Their Structure
Japanese-UK biotech Sosei Heptares are tackling the problem of stabilising GPCR structures with a view toward novel drug discovery endpoints.
Molecular Drug Design
AlphaFold: Momentary or Revolutionary?
AlphaFold, using AI/ML to predict the structures of proteins, has jumped off the pages of sci-fi and landed into the labs of researchers… but is it any good?
Molecular Drug Design
Using AI to Drive Drug Design: Maximising the Impact of Big Data with Computer Aided Drug Discovery
Making the most of big data and AI to achieve compound suggestions for drug discovery chemistry.
Molecular Drug Design
The Highs and Lows of Applying AI to Drug Design
September's discussion group takes us through AI applied to drug design. Where it has been useful, and where it has been not so useful.
