Dr. Genevieve Boland, Harvard Medical School Multi-modality approach to predicting and monitoring immunotherapy response and resistance |
Overcoming T- cell homing challenges in CAR-T cell cancer therapies |
NMR-based metabolomics in breast cancer research |
Plasma proteomics predicts response to immunotherapy and provides biological insights into tumor-immune system interactions |
TCR targets validation through T cell activation |
Multi-modality approach to predicting and monitoring immunotherapy response and resistance |
Scientists' Choice Awards: Join us to celebrate the best new life sciences technologies of the year |
New advances in high-throughput drug screening using TrueGel3D® HTS Hydrogel 3D Cell Culture Plates |
Challenge and improve your DNA / RNA sample preparation: An introduction to bead-beating technology |
Targeting metabolism to treat pancreatic cancer |
Optimizing immunohistochemistry and multiplex immunofluorescence success with antibody validation |
The impact of COVID-19 on pediatric medulloblastoma: A global response |
Profiling of the immune system of multiple myeloma patients at diagnosis and after treatment using mass cytometry by time-of-flight (CyTOF) |
Proteomic analysis to predict response to immunotherapy |
Interrogating complex tumors by multiomic spatial profiling |
One workflow, endless options: NGS workflow solutions |
Cell-based assays to functionally characterize immunotherapy |
Identifying and targeting chromosome instability genes in cancer |
Get the most from your samples: Higher yields of higher-quality RNA and DNA using the Ionic® Purification System |
Predict anticancer efficacy with a new in vitro 3D modeling platform |
Targeting tumor mutations with personalized T cell therapy of cancer |
Evaluating the heterogeneity of B cells and TLS in lung cancer patients for improved immunotherapeutics |
Speaker split session: |
PD-1 mechanism of action: What do we know? |
Pharmacokinetic services: Tools for cancer research |