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Follow-Up to August 31 Announcement: First Cohort Process Is Now Open for Real-World Image Testing MESA, AZ / ACCESS Newswire / September 4, 2026 / Medical Care Technologies Inc. (OTCID:MDCE) today announced that volunteer intake is now active for the first human-submitted image cohort supporting MDCE Melanoma Scan Beta - advancing the initiative first announced on August 31, 2026. On August 31, the Company said it was seeking its first volunteers in order to move beyond testing and training based solely on established public cancer imaging datasets, including HAM10000, ISIC Archive collections, and TCIA melanoma cohorts.

Proprietary AI Vision Platform Moves From Market Positioning Into Live Enterprise Demonstration for Multi-Trillion-Dollar Agriculture Sector MESA, AZ / ACCESS Newswire / September 3, 2026 / Medical Care Technologies Inc. (OTCID:MDCE) today announced that it is preparing the first custom demonstrations of its StrainScan Pro platform for enterprise agricultural clients - a key step in converting the Company's AI vision technology from public positioning into direct enterprise engagement. StrainScan Pro is proprietary AI vision software built for agricultural and foodservice quality applications.

Company Advances AI-Assisted Imaging Tools Designed to Help Users Track Possible Early Warning Signs and Visible Changes Over Time MESA, AZ / ACCESS Newswire / September 2, 2026 / Medical Care Technologies Inc. (OTCID:MDCE) today highlighted the public-health urgency behind continued development of its MDCE Melanoma Scan Beta platform - an AI-assisted imaging and body-map monitoring application designed to help users organize, compare, and review visible skin images over time. Melanoma remains one of the most consequential cancers in the United States.

Proprietary AI Vision Platform Now Positioned as a Quality-Control Tool for Farming Operations and High-Volume Foodservice Environments MESA, AZ / ACCESS Newswire / September 1, 2026 / Medical Care Technologies Inc. (OTCID:MDCE) today reinforced that StrainScan Pro is being advanced as an artificial intelligence vision platform built for the agriculture and foodservice industries - two of the largest economic sectors in the world. StrainScan Pro is proprietary AI vision software designed to support visual quality analysis, consistency checks, and early identification of quality issues.

Company Advances Beyond Public Cancer Imaging Datasets With First Real-World User-Submitted Testing Phase MESA, AZ / ACCESS Newswire / August 31, 2026 / Medical Care Technologies Inc. (OTCID:MDCE) today announced that its MDCE Melanoma Scan Beta platform is seeking its first set of volunteers for human-submitted dataset testing - a significant step beyond the Company's prior work training and evaluating models solely on established public cancer imaging datasets. Until now, development of MDCE Melanoma Scan Beta has centered on structured internal testing and AI model optimization using gold-standard public dermatology resources, including HAM10000, ISIC Archive collections, and TCIA melanoma cohorts.

Company reviews methods designed to assist users in tracking visible skin changes over time with more accuracy. MESA, AZ / ACCESS Newswire / August 26, 2026 / Medical Care Technologies, Inc. (OTC PINK:MDCE) ("MDCE" or the "Company") today announced it's improved longitudinal body-map monitoring capabilities within its MDCE Melanoma Scan Beta platform.

Proprietary Platform Highlights the Strength of a Single AI Vision System Serving Multiple Trillion Dollar Industries MESA, AZ / ACCESS Newswire / August 26, 2026 / Medical Care Technologies Inc. (OTCID:MDCE) today emphasized the cross-industry versatility of its StrainScan Pro platform, underscoring how a single proprietary AI vision system is being applied across both regulated retail environments and large-scale agricultural operations. StrainScan Pro is designed to deliver consistent visual analysis capabilities that support quality verification for licensed retail operators while also addressing agricultural needs such as early detection of pests, crop stress, and quality indicators.