@UroDocAsh raises a great point and the key question as to which NMIBC patients will benefit the most from escalated options over BCG monotherapy. AI+path precision oncology tools like Vesta Risk Stratify @valarlabs that individualize predictions of progression risk and recurrence risk can enable selection of higher risk patients.
@AstraZeneca let’s collaborate
@IBCG_BladderCA@joanfundi@VigneshPackiam@UrogerliMD
@ASCO 26 we are presenting for the first time a Computational Histology AI (CHAI) biomarker validated across multiple phase 3 prospective RCTs to identify patients who would benefit from intensification of chemotherapy in first line metastatic colorectal cancer.
In collaboration with @FoundationGono@ChiaraCrem1@p_ciracimd and many more
.@DCVC-backed @valarlabs is launching Vitara, a new AI-derived test that uses routine pathology slides to help oncologists choose between FOLFIRINOX and gemcitabine/nab-paclitaxel in pancreatic cancer. In validation data, patients matched to the predicted regimen lived ~3 months longer.
More from @DCVC GP @hardimanjames in 🧵
We are thrilled to announce that the @JCO_ASCO has published our pivotal study validating our AI platform to predict response to first-line chemotherapy in advanced pancreatic cancer by analyzing standard pathology slides.
Article: https://t.co/L7o7rlXkhJ
@DrHendifar@PancPathologist@PanCAN
By bringing precision medicine to standard-of-care therapies, we are making personalized treatment accessible to a significantly broader patient population. This empowers oncologists to optimize commonly used regimens from day one. Validated with data from @PanCAN's Know Your Tumor registry and the COMPASS trial, the biomarker is now available for early access as Vitara Pancreas ChemoPredict.
AI & digital pathology are reshaping cancer care — as highlighted at #ESMO25.
Excited to partner with @ValarLabs on an #AI biomarker project analyzing biopsy slides from #KRAS-mutated #PancreaticCancer, advancing precision oncology. #AIinOncology
https://t.co/vbsa2VAiYW
We are pleased to partner with @PathNetLab to expand access to Vesta Bladder tests to large urology practices nationally
Press Release: https://t.co/CzSwIJqELq
Great work done @UroCancerMD@UrogerliMD@SpiessPhilippe@BrynLauner@VikramNarayan@siadaneshmand@bkonety to validate the CHAI (Computational Histology Artificial Intelligence) model for risk stratification of patients with Ta HG #NMIBC in a multicenter cohort:
☑️CHAI outperformed EAU and AUA risk models in HG-Recurrence-Free Survival and Progression Free Survival
☑️CHAI shows a great potential of AI-powered pathology to refine risk assessment
Curious to see future performance also in other settings including LG IR NMIBC #BladderCancer #Artificial_Intelligence @EUplatinum@oncodaily@urotoday
👉https://t.co/UNsWzaIpLg
Wonderful collaboration with @UroCancerMD@siadaneshmand to demonstrate the external validation performance of CHAI biomarkers to prognostic risk of recurrence and progression in bladder cancer
🔍 New in European Urology
Computational histology AI improves risk stratification in high-grade Ta NMIBC
In a multicenter cohort, the Computational Histology Artificial Intelligence (CHAI) assay outperformed current EAU and AUA risk models in predicting recurrence and progression after BCG.
These findings highlight the potential of AI-powered pathology to refine risk assessment in non–muscle-invasive bladder cancer.
📄 Chang SS et al. Eur Urol. 2025;88:411–413.
🔗 https://t.co/qSIrw7AmBz
#EuropeanUrology #BladderCancer #ArtificialIntelligence #Urology #Pathology #PrecisionOncology #BCG #EAUguidelines #AUA #DigitalPathology #ClinicalResearch #AIinMedicine
🔍 New in European Urology
Computational histology AI improves risk stratification in high-grade Ta NMIBC
In a multicenter cohort, the Computational Histology Artificial Intelligence (CHAI) assay outperformed current EAU and AUA risk models in predicting recurrence and progression after BCG.
These findings highlight the potential of AI-powered pathology to refine risk assessment in non–muscle-invasive bladder cancer.
📄 Chang SS et al. Eur Urol. 2025;88:411–413.
🔗 https://t.co/qSIrw7AmBz
#EuropeanUrology #BladderCancer #ArtificialIntelligence #Urology #Pathology #PrecisionOncology #BCG #EAUguidelines #AUA #DigitalPathology #ClinicalResearch #AIinMedicine
We are pleased to announce our partnership with @LumeaDigital to streamline access to precision medicine for all bladder cancer patients. Vesta Bladder BCGPredict and Vesta Bladder Risk Stratify are first of their kind AI diagnostic tests to aid with treatment selection and prognostication in non muscle invasive bladder cancer.
https://t.co/At4dWtAGMU
Listen to an engaging conversation hosted by @urotoday between two leaders in bladder cancer @UroCancerMD and @VigneshPackiam on our data in @EurUrolOncol using Vesta BCGPredict to analyze patient outcomes between BCG vs Gem/Doce
Interview: https://t.co/60936mbAoY
Big thank you to all collaborators involved!
@pjhensley11@UroDocAsh@saumyg
Excited to share our @valarlabs publication in @EUplatinum validating Vesta Risk Stratify computational histology AI biomarkers to predict recurrence and progression in High Grade Ta Bladder Cancer. (1/5)
Publication: https://t.co/owWUEzGAHc