Author: Deepbio

– AI-derived tumor volume metrics enhance prognostic prediction over traditional pathology methods

SEOUL, SOUTH KOREA, April 8, 2025 /EINPresswire.com/ — Deep Bio, a leader in AI-powered digital pathology, announced the publication of a groundbreaking study in Scientific Reports, an open-access journal from the Nature Publishing Group. Conducted in collaboration with Pusan National University College of Medicine, the study confirms the clinical value of Deep Bio’s AI algorithm in analyzing radical prostatectomy specimens at an unprecedented scale.

The study involved 992 prostate cancer patients and 29,646 digitized whole-slide images (WSIs) from radical prostatectomy specimens. It assessed the clinical feasibility and prognostic value of Deep Bio’s deep learning-based image analysis (DLIA) algorithm, DeepDx Prostate RP (Radical Prostatectomy). The algorithm demonstrated strong concordance with pathologists for Gleason grading. It outperformed manual assessments in tumor volume (TV) and percent tumor volume (PTV) measurements in predicting biochemical progression-free survival (BPFS).

Notably, when AI-derived PTV was incorporated into the CAPRA-S prognostic model, the predictive accuracy for recurrence was significantly improved (c-index increase, p=0.006). These findings highlight the algorithm’s potential to support clinical decision-making in prostate cancer management by offering consistent, quantitative insights.

“These findings validate our AI model’s ability to analyze prostate cancer at scale while improving prognostic accuracy,” said Sun Woo Kim, CEO of Deep Bio. “By integrating AI into digital pathology workflows, we are enabling more precise, data-driven decision-making that can lead to improved patient outcomes.”

This publication follows Deep Bio’s previous external validation study with Stanford University, published in BJU International, further establishing the global credibility of its AI-driven pathology solutions. The findings reinforce the role of AI in enhancing cancer diagnostics and prognosis prediction, paving the way for more widespread adoption of digital pathology tools in clinical practice.

About Deep Bio

Founded in 2015, Deep Bio Inc. develops AI-powered solutions for cancer pathology diagnostics, utilizing advanced deep learning technologies to enhance diagnostic precision and pathologist efficiency. The company specializes in in-vitro diagnostic medical device software (IVD SaMD) that integrates data-driven insights to support clinical decision-making.

Deep Bio’s flagship AI solution, DeepDx Prostate, marked with European CE-IVD, processes Whole Slide Images (WSI) to accurately identify and segment cancerous lesions. The software provides comprehensive classification by Gleason pattern, precise tumor localization, and critical metrics such as Gleason score quantification and tumor volume assessment, which are essential for diagnosis, prognosis, and treatment planning.

This AI technology enables detailed analysis and reporting, supporting healthcare professionals with precise diagnostic insights. In 2024, Deep Bio was recognized for its innovation with the CES Innovation Award. The company remains committed to transforming pathology workflows and improving patient outcomes worldwide.

SEOUL, SOUTH KOREA, November 19, 2024 /EINPresswire.com/ — Deep Bio, a leader in artificial intelligence for digital pathology, announced a collaboration to integrate its prostate cancer analysis solution, DeepDx Prostate, with PathAI’s AISight®1 Image Management System (IMS). This collaboration combines Deep Bio’s clinically validated AI technology with PathAI’s advanced digital pathology platform, expanding access to powerful diagnostic tools for prostate cancer.

DeepDx Prostate, which is CE-marked and clinically validated, provides AI-supported diagnostics for prostate cancer by analyzing digitized slide images of Hematoxylin & Eosin (H&E) stained prostate specimens. The software classifies each lesion by histological type or risk grade, measures lesion size, and generates metrics crucial for cancer diagnosis, prognosis, and treatment planning, including lesion type proportions and overall tissue lesion ratios.

PathAI, the developer of the AISight IMS platform, is a pioneering provider of AI-powered research tools and services for pathology, working with leading life sciences companies, laboratories, and researchers to advance precision medicine. AISight is a complete solution for primary diagnosis, centralizing case and image management in a cloud-native, intelligent platform. It provides pathologists with an intuitive way to view, interpret, share, and manage whole slide images, enhancing both confidence and efficiency in diagnostic workflows. Ideal for clinical settings of all sizes—from individual labs to large hospital networks—AISight is utilized by premier laboratories and research centers globally to streamline digital pathology workflows and AI applications, serving as a central hub equipped with top-tier AI tools for multiple histopathology applications.

“We are thrilled to integrate DeepDx Prostate with PathAI’s AISight IMS platform,” said Deep Bio CEO Sun Woo Kim. “This collaboration allows broader access to our AI-driven diagnostic tools, and we aim to transform prostate cancer diagnostics by empowering clinicians with advanced tools to guide treatment decisions.”

“We are excited to welcome Deep Bio’s DeepDx Prostate algorithm into the AISight platform,” said Andy Beck, CEO of PathAI. “This collaboration exemplifies our commitment to equipping pathologists with cutting-edge tools that enhance precision and increase workflow efficiency. By expanding the reach of advanced AI solutions, we continue to make meaningful strides in improving patient outcomes and transforming digital pathology on a global scale.”

Leveraging PathAI’s rapidly growing install base of AISight users, through this integration, DeepDx Prostate will reach a wider range of clinicians and patients across North America and Europe, providing access to leading-edge diagnostic tools for prostate cancer. This collaboration marks a pivotal step toward Deep Bio’s vision of advancing AI-powered cancer diagnostics on a global scale.

About Deep Bio

Deep Bio is a pioneer in AI-powered pathology, transforming cancer diagnostics with innovative solutions that support pathologists in delivering precise and efficient care. Its flagship product, DeepDx Prostate, is a CE-IVD-marked diagnostic aid extensively vetted through studies of over 700,000 U.S. biopsy specimens. Offering tools for cancer detection, Gleason scoring, and gland-level tumor analysis, DeepDx Prostate enhances diagnostic accuracy while streamlining pathology workflows. Deep Bio’s commitment to advancing digital pathology is driven by collaboration and a dedication to improving patient outcomes

Note: AISight is for Research Use Only in the US; AISight Dx is CE-IVDR in Europe and UKCA in UK

Deep Bio Inc., a leader in AI-driven digital pathology solutions, announced the publication of an external validation study for its DeepDx Prostate AI algorithm, conducted by Stanford Medicine.
The study, titled “External Validation of an Artificial Intelligence Model for Gleason Grading of Prostate Cancer on Prostatectomy Specimens,” was published in the British Journal of Urology International.

SEOUL, SOUTH KOREA, August 6, 2024

The study evaluated the performance of DeepDx Prostate in detecting and grading prostate cancer on whole-mount radical prostatectomy (RP) specimens. The DeepDx Prostate algorithm, which had been originally trained and validated on prostate core needle biopsy (CNB) images from two hospitals in South Korea, was tested to determine its generalizability to different patient populations and much larger prostatectomy specimens. Researchers aimed to assess the model’s performance on RP specimens from an institution it had never encountered before, without any fine-tuning. The validation study demonstrated the following key findings:

1. High Accuracy: The algorithm achieved an impressive sensitivity of 0.997 and specificity of 0.88 in detecting cancer presence in radical prostatectomy specimens.
2. Agreement with Pathologists: The AI showed strong agreement with expert uropathologists, with Cohen’s Kappa values of UWK 0.91 for cancer presence, QWK 0.89 for Gleason grade classification, and QWK 0.89 for risk group identification (benign, low [GG1], intermediate [GG 2-3], and high-risk [GG 4-5]).
3. Generalizability: The algorithm demonstrated robust performance across different datasets and tissue types, highlighting its potential for widespread implementation across various healthcare settings.

Sun Woo Kim, CEO of Deep Bio, commented, “Accurate grading of Gleason scores is key to optimizing treatment plans and predicting outcomes. The swift and precise results provided by DeepDx Prostate will be invaluable in clinical practice.”

Bogdana Schmidt MD, MPH, the lead author of this validation study and current assistant professor at the University of Utah, said, “The validation of DeepDx Prostate through this study underscores its generalizability and potential for widespread clinical implementation. This tool will aid in the timely and accurate grading of prostate cancer, which is crucial for developing effective treatment plans.”

The study concludes that DeepDx Prostate algorithm is an accurate tool for identifying and grading prostate cancer on digital histopathology images of whole-mount RP specimens, demonstrating almost perfect concordance with expert GU pathologists and impressive performance in various clinically relevant tasks.

Deep Bio Inc. is committed to advancing AI technology to enhance diagnostic accuracy and efficiency in pathology. When used for its intended tissue type—CNB samples—DeepDx Prostate demonstrates 99% sensitivity and 97% specificity.

About Deep Bio

Established in 2015, Deep Bio Inc. is a medical AI development company specializing in deep learning and cancer pathology diagnostics. The company develops in-vitro diagnostic medical device software (IVD SaMD) that enhances the accuracy of cancer diagnosis and prognosis, aiding in better treatment decision-making.

Deep Bio’s prostate cancer diagnostic AI solution, which has obtained the European CE-IVD certification, analyzes high-resolution Whole Slide Images (WSI) to identify and segment cancerous lesions. The software classifies each lesion by histological type or risk grade, measures lesion size, and provides various metrics, such as the proportion of each lesion type and the overall tissue lesion ratio, essential for cancer diagnosis, prognosis, and treatment planning.

The AI solution provides detailed analysis results and reports, improving patients’ and professionals’ accessibility to medical information. This innovation earned Deep Bio the CES Innovation Award in 2024.