Last week we had the great pleasure of discussing our research at the Cognizant Outreach event in support of #TechInPink2023 by Estée Lauder, attended by over 900 Cognizant associates around the world. Anita, Gregory , Mengyuan and Holly revealed more about the team’s use of AI to combat breast cancer in a panel and in discussion with attendees after the event.
Over 3,500 Cognizant associates from 27 countries have been hard at work as volunteers in the last 2 months, engaging with our Node Code Breakers Zooniverse project to annotate germinal centres in lymph nodes. They have generated an astonishing 80,000+ annotations for us! This phenomenal achievement will go a long way to helping us improve the accuracy of our AI models that support the pathological diagnoses of breast cancer patients.
We were absolutely blown away by the passion and dedication of everyone involved and would like to say a huge thank you to everyone at Cognizant for your tremendous efforts.
And, as always, none of what we do could happen without the ongoing support of Breast Cancer Now .
If you would like to get involved in helping us tackle breast cancer then please do have a look at the Node Code Breakers site:
We’re seeking a highly motivated Research Associate with expertise in deep learning and spatial biology within the field of translational cancer research. The project will entail algorithm development and deployment of deep learning approaches for histomorphological characterisation of triple negative breast cancers. Through spatial transcriptomics, diverse transcriptional profiles will be mapped to regions of interest to decipher immune cell population dynamics in triple negative breast cancers. Subclonal and clonal T cell dynamics in these samples can be further investigated using TCR-sequencing.
This applicant will join the multidisciplinary Cancer Bioinformatics group (https://cancerbioinformatics.co.uk/) within the Breast Cancer Now Research Unit at King’s College London whose collective aims are to implement computational approaches for the integrated multi-modal analyses from model systems and patient studies of triple-negative breast cancers. We lead on the latest technologies to perform subcellular spatial transcriptomics and hold a wealth of whole slide image data for digital pathology approaches.
For more detailed information, please look at https://www.kcl.ac.uk/jobs/068345-research-associate-cancer-computer-scientist.
Today the Journal of Pathology published our work on developing a multiscale deep learning framework to predict how likely a patient is to develop secondary (incurable) breast cancer based on immune responses in the lymph nodes.
Congratulations to Gregory and Mengyuan for this excellent accomplishment.
KCL have featured the paper on the news site: https://www.kcl.ac.uk/news/scientists-ai-model-predict-breast-cancer-spread
Read the full paper here: https://pathsocjournals.onlinelibrary.wiley.com/doi/full/10.1002/path.6088
We are looking forward to sharing our latest research today at our inaugural Spatial Biology and Imaging Symposium.
This week the team published a review on B Cells in Breast Cancer Pathology in a special issue of Cancers: B Cells and Antibodies in Immune Surveillance and Therapy for Cancer.
Congratulations in particular to Mengyuan, Ellie, Matthew and Vickie.
We are seeking a senior research technician to manage our newly establish Spatial Biology Hub led by Dr Anita Grigoriadis and Dr Ciro Chiappini, Guy’s Campus. King’s College London (KCL).
Spatial multiomics approaches reveal how cells interact and organise across different tissue landscape. Having secured large-scale funding in this field, we are building a new core facility to utilise the nanoString GeoMx and CosMx Digital Spatial Profiler. The post-holder will be based within Dr Anita Grigoriadis’ group at the Cancer Centre, Guy’s Hospital (KCL).
Apply online here:
Last week Greg and Annelie attended the San Antonio Breast Cancer Symposium (SABCS). SABCS is an annual event cosponsored by the AACR and UT Health San Antonio’s Mays Cancer Center. The meeting hosts about 10,000 clinicians and scientists from all over the world and is the largest and most prestigious scientific gathering on breast cancer research.
Greg presented a poster titled “Multiscale deep learning framework captures systemic immune features predictive of survival”.
Annelie presented a poster titled “Differential Long-term Benefit from Adjuvant Tamoxifen Therapy in ER-Positive/HER2-Negative Premenopausal and Postmenopausal Breast Cancer Patients“.
This week Anita gave a talk at the NextGen Omics London In Person event and hosted the panel on Spatial Transcriptomic Analysis.
Spatial Analysis is an exciting development in the field and has quickly become an essential part of the research at our lab so it was a pleasure to discuss with other experts and to share our experience.
We are delighted to present another PhD opportunity, this time investigating head and neck squamous cell carcinoma (HNSCC):
Immune cell interaction in primary tumour and lymph nodes driven by head and neck cancers, with a focus on immunoglobulin-producing B cells
In this project, we will focus on risk-predictive areas encompassing immune cells and aim to characterise in detail the immunoglobulin-producing B cells in primary tumours and lymph nodes. We will use spatial transcriptomics, image CyTOF and multiplex immune-fluorescence staining techniques, as well as B cell receptor sequence analyses.
For more details please follow the link below: