News, Seminars &
Publications

New tool identifies which cancer patients are most likely to benefit from immunotherapy

A new diagnostic tool that can predict whether a cancer patient would respond to immunotherapy treatment has been developed by scientists at the University of Bath.

Research helps predict which melanoma patients are most likely to respond to immunotherapy

An international team of UK and US scientists has discovered that the activity of macrophages – a type of white blood cell that engulf pathogens and cancer cells – can be used to predict whether or not a melanoma patient will respond to immunotherapy.

Consortium for Precision Health

Lauren Coyle, Commissioning Editor, Immuno-Oncology Insights, speaks with Banafshé Larijani, Director of the Centre for Therapeutic Innovation, University of Bath, about the devel- opment and application of a novel spatial mapping technology designed to improve cancer diagnostics and personalize treat- ment planning.

New tumour spatial mapping tool will help clinicians diagnose cancer and personalise treatment

FuncOmap directly maps the functional states of oncoproteins in patients’ tumour sections, so that clinicians can predict which treatments will work best.

Bath scientists develop 3D-printed artificial knee

Scientists have developed a 3D-printed implant to help patients suffering osteoarthritis in their knee.

Ligeti Quartet

IMPRISONED ABSENCE

New study brings personalised immunotherapy prescriptions a step closer

Research validates an imaging platform co-developed at CTI-Bath which predicts if a cancer patient would respond well to immunotherapy.

CTH publication outputs

CTH publications span a wide range of research areas. The figure below uses Scopus/SciVal’s broad subject categories to show the areas current CTH staff have published in since 2014.

Machine learning outperforms clinical experts in classifying hip fractures

Neural networks could improve patient outcomes and reduce care costs

Translating Spatio-Temporal Imaging Data Into Clinical Data Using Machine Learning

Tumour heterogeneity at the protein level has been associated with poor prognosis in several human carcinomas. Current approaches for assessing protein function rely on intensity-based methods, which are limited by their subjectivity and specificity.

A practical model of the diffusion of oil‐based fluid into polyethylene

It is possible to modify the properties of semicrystalline polymers using diffusion to introduce additional functionality.

High PD-1/PD-L1 checkpoint interaction infers tumor selection and therapeutic sensitivity to anti-PD-1/PD-L1 treatment

Many cancers are termed immunoevasive due to expression of immunomodulatory ligands. Programmed death ligand-1 (PD-L1) and cluster of differentiation 80/86 (CD80/86) interact with their receptors, programmed death receptor-1 (PD-1) and cytotoxic T-lymphocyte associated protein-4 (CTLA-4) respectively, on tumor-infiltrating leukocytes eliciting immunosuppression.