BHKLAB

[BHKLAB @bhklab]

In this feature with Technology Networks, @bhaibeka shares challenges working with clinical data, the impact of #LLMs and #agenticAI systems to scale curation. Special focus on spatially organized cancer cells aka 'ecotypes'.

Read more: https://t.co/K6uKt2Axee

[BHKLAB @bhklab]

Excited to share our latest research published in American Association of Physicists in Medicine by Ruiyan Ni titled Geometrically focused training and evaluation of organs-at-risk segmentation via deep learning.
Full article - https://t.co/3kbtmp4Fl4

[BHKLAB @bhklab]

Big thanks to @GoogleCloud for the support! #AIinHealthcare #DrugDiscovery

[BHKLAB @bhklab]

⛳ That’s a wrap on the #AIRCHECK Workshop 2025!

Researchers, data scientists & students gathered at Google Cloud Toronto to explore how AI/ML can accelerate drug discovery via https://t.co/NzJksszLcE 💡

Huge shoutout to Shaghayegh Reza & Nabin Bagale for leading this! 👏👏

[BHKLAB @bhklab]

Exciting news! Great opportunity for the best and brightest postdoctoral researchers, early-career scientists, and established stars to UHN - https://t.co/srSWgyf9J2
@UHN_Research @PMResearch_UHN @UHN @uhntrainees @Canada

[Cancer Digital Intelligence @PM_CDI]

🚨 Big news! Today @UHN launched the Canada Leads 100 Challenge 🇨🇦 — an ambitious push to recruit 100 world-class scientists and shape the future of health research and innovation! 🌍🧬

[BHKLAB @bhklab]

No universal approach—aggregation depends on tumor type & lesion burden. A step toward personalized, data-driven oncology.
🔗 Read more: [https://t.co/ENAfOuy68F]
#Cancer #medicalresearch #Oncology #AIinHealthcare

[BHKLAB @bhklab]

Congratulations Caryn Geady et al. for the publication - Radiomic based approaches in the multi-metastatic setting: a quantitative review. 🧵

Our study evaluates 10 methods to aggregate radiomic features across 16,894 lesions in 3,930 patients.

[BHKLAB @bhklab]

🔍 Key Findings:
✅ Colorectal liver mets – Averaging methods worked best.
✅ Soft tissue sarcoma – Feature concatenation led.
✅ Head & neck cancers – Tumor volume remained top predictor.

[Princess Margaret Cancer Centre Research @PMResearch_UHN]

💡How do we best manage data for an AI-guided future in drug discovery?

Published in @NatureComms, scientists from academia and industry share insights on precise data management, centralized databases, and lab automation.

https://t.co/cHEjxXRguh

@UHN_Research @thesgconline

[BHKLAB @bhklab]

This esteemed 3-year award not only recognizes Peter’s exceptional dedication and talent in the health-related research field but also provides vital support for his work.

[BHKLAB @bhklab]

🌟Peter aims to understand the functional role of circular RNAs in primary versus acquired resistance. This research has the potential to uncover predictive and prognostic biomarkers, paving the way for advancements in precision oncology.

[BHKLAB @bhklab]

🎉 Congratulations to Peter Her for receiving the prestigious CIHR Doctoral Research Award for the project titled “Deciphering the pan-cancer functional landscape of circular RNAs in primary versus acquired resistance to immunotherapy for precision oncology”.

[BHKLAB @bhklab]

🔍 This study shows that transfer learning enhances auto-contouring of organs at risk in cervical brachytherapy and reduces training time, providing a robust solution adaptable to different clinical settings.

Read more : https://t.co/q6BRw4trjw

[BHKLAB @bhklab]

🎉 Congratulations Ruiyan Ni and team on their latest publication in the Radiotherapy and Oncology journal titled "Generalizability of deep learning in organ-at-risk segmentation: A transfer learning study in cervical brachytherapy"

[BHKLAB @bhklab]

This initiative aims to improve patient matching to clinical trials, read more - https://t.co/MSJbsiWPnY

#PMATCH

[BHKLAB @bhklab]

@bhaibeka presented at the International Cancer Research Partnership (ICRP) @icrpartners1 Annual Meeting 2024, showcasing the latest updates in our PMATCH project titled “Streamlining Clinical Trial Criteria to Guide Precision Oncology.”

[BHKLAB @bhklab]

Ruiyan is a PhD student and is presenting "Near-to-target organs-at-risk segmentation in cervical high dose-rate brachytherapy via deep learning"

[BHKLAB @bhklab]

Congratulations to Katy Scott and Ruiyan Ni for getting accepted for oral presentations at @ICCR2024 , the 20th International Conference on the use of Computers in Radiation Therapy 🎉

[BHKLAB @bhklab]

Katy is a Research analyst in the lab and will be presenting on the topic - Radiomic Extraction and Analysis for DICOM Images to Refine Objective Quality Control (READII-2-ROQC): An open-source foundation for head and neck radiomics

[BHKLAB @bhklab]

Congratulations to Ian Smith, for successfully defending his thesis today. Your journey has been inspiring, and your expertise will undoubtedly make a significant impact in the field of pharmacogenomics!
Cheers to a new chapter filled with endless possibilities! 🥳🎉