Biobanking
Asia’s largest tumor tissue collection
Digital library of whole slide Images Built at Sapien
Sapien is focusing on the emerging area of Digital Pathology combined with Machine Learning (ML) and Artificial Intelligence (AI), to improve the diagnoses, to sub-classify patients into more clinically-relevant phenotypes and predict outcomes. Sophisticated image analysis tools combined with computational advances allow whole slide images (WSI) to be analysed using ML / AI to develop algorithms to aid pathologists and clinicians to personalize treatment. For this purpose, Sapien is creating a high-resolution library of WSI from hundreds of cancer specimens’ FFPE blocks for which demographic and diagnostic data has already been curated and structured by the biobank. In breast cancer for example, matched sets of H&E, ER, PR, HER2, Ki67/MIB images from the same case have been scanned at 40X magnification from 750+ cases, spanning all stages, grades and histotypes in pathology. Even benign breast tumors as well as normal breast tissues have been scanned as controls. Multiple scanners (Philips, Morphle, Motic) are being used to also allow normalization across different platforms for solutions. ImageNet, IBM, TCGA have large image datasets in oncology; Sapien’s digital library is the largest such database for Indian cancer patients. Sapien is adding treatment and outcomes data, as well as genetic variant data, to these cancer cases, in the hope of deep learning approaches making it possible for the inexpensive, more widely available HE images to replace the need for IHC-, FISH- and gene-based biomarker analysis.
Sapien’s work for Hillstream BioPharma presented at AACR
Sapien biobank evaluates novel drug candidates and formulations for global biotech and pharma companies using our proprietary panel of live cells and 3Dcellculture derived from cancer surgeries tissues. These are also called patient-derived cells or PDCs. Assays using PDCs are very valuable before going to clinical trials. We are delighted that our work done with a novel formulation in triple negative breastcancer (TNBC) proliferation and stemcell viability was included for the presentation at AACR.
2,00,000
Unique Patients
20,45,000
Number of Samples
150
Unique Diseases Covered
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