Medical Care Technologies Inc. Introduces AI Breakthrough for Squamous Cell Carcinoma Detection
Medical Care Technologies (OTC:MDCE) has unveiled an innovative AI platform for detecting squamous cell carcinoma (SCC), the second most common form of skin cancer. The technology employs advanced machine learning classifiers to identify early warning signs that might be missed during self-examinations.
The AI system utilizes edge-detection algorithms and keratin pattern recognition to identify various SCC indicators including rough patches, persistent lesions, and early ulcerations. A key feature is its ability to differentiate SCC from precancerous conditions through longitudinal comparison modeling, tracking lesion evolution across the entire body.
Medical Care Technologies (OTC:MDCE) ha presentato una piattaforma AI innovativa per rilevare il carcinoma a cellule squamose (SCC), la seconda forma più comune di tumore della pelle. La tecnologia utilizza avanzati classificatori di machine learning per identificare segnali di allarme precoci che potrebbero sfuggire durante l'autoesame.
Il sistema AI utilizza algoritmi di edge-detection e riconoscimento di pattern della cheratina per identificare vari indicatori di SCC tra cui chiazze ruvide, lesioni persistenti e ulcerazioni precoci. Una caratteristica chiave è la sua capacità di distinguere SCC da condizioni precancerose tramite modellazione di confronto longitudinale, monitorando l'evoluzione delle lesioni sull'intero corpo.
Medical Care Technologies (OTC:MDCE) ha presentado una plataforma de IA innovadora para detectar el carcinoma de células escamosas (SCC), la segunda forma más común de cáncer de piel. La tecnología emplea clasificadores avanzados de aprendizaje automático para identificar señales de alerta temprana que podrían pasarse por alto durante los autoexámenes.
El sistema de IA utiliza algoritmos de detección de bordes y reconocimiento de patrones de queratina para identificar diversos indicadores de SCC, incluyendo parches ásperos, lesiones persistentes y ulceraciones tempranas. Una característica clave es su capacidad para diferenciar SCC de condiciones precancerosas mediante un modelado de comparación longitudinal, rastreando la evolución de las lesiones en todo el cuerpo.
Medical Care Technologies (OTC:MDCE)가 피부암의 두 번째로 흔한 형태인 편평세포암(SCC)을 탐지하기 위한 혁신적인 AI 플랫폼을 공개했습니다. 이 기술은 자신 검사 중 놓칠 수 있는 초기 경고 신호를 식별하기 위해 고급 기계학습 분류기를 사용합니다.
AI 시스템은 에지 검출 알고리즘과 각질 패턴 인식을 활용하여 거친 반점, 지속적인 병변 및 초기 궤양을 포함한 다양한 SCC 지표를 식별합니다. 핵심 기능은 종적 비교 모델링을 통해 SCC를 전암 상태와 구분하고, 전신에 걸친 병변의 변화를 추적하는 것입니다.
Medical Care Technologies (OTC:MDCE) a dévoilé une plateforme IA innovante pour détecter le carcinome épidermoïde (SCC), la deuxième forme la plus courante de cancer de la peau. La technologie utilise des classificateurs d'apprentissage automatique avancés pour identifier les signaux d'alerte précoces qui pourraient passer inaperçus lors des auto-examens.
Le système IA utilise des algorithmes de détection de contours et de reconnaissance des motifs de kératine pour identifier divers indicateurs de SCC, notamment des zones rugueuses, des lésions persistantes et des ulcérations précoces. Une caractéristique clé est sa capacité à différencier le SCC des conditions précancéreuses par le biais d'une modélisation de comparaison longitudinale, en suivant l'évolution des lésions sur l'ensemble du corps.
Medical Care Technologies (OTC:MDCE) hat eine innovative KI-Plattform zur Erkennung von Plattenepithelkarzinom (SCC) vorgestellt, der zweithäufigsten Form von Hautkrebs. Die Technologie verwendet fortschrittliche Machine-Learning-Klassifikatoren, um Frühwarnsignale zu identifizieren, die bei Selbstuntersuchungen übersehen werden könnten.
Das KI-System nutzt Edge-Detektions-Algorithmen und Keratin-Mustererkennung, um verschiedene SCC-Indikatoren zu identifizieren, darunter raue Bereiche, persistierende Läsionen und frühe Ulzerationen. Eine Schlüsselfunktion ist seine Fähigkeit, SCC von Vorstufen durch longitudinales Vergleichsmodell zu unterscheiden und die Entwicklung von Läsionen über den ganzen Körper hinweg zu verfolgen.
Medical Care Technologies (OTC:MDCE) كشفت عن منصة ذكاء اصطناعي مبتكرة للكشف عن سرطان الخلايا الحرشفية (SCC)، وهو الشكل الثاني الأكثر شيوعاً من سرطان الجلد. تستخدم التكنولوجيا مصنفات تعلم آلي متقدمة لتحديد إشارات الإنذار المبكر التي قد تفوت أثناء الفحص الذاتي.
يستخدم نظام الذكاء الاصطناعي خوارزميات كشف الحواف وتعرّف نمط الكيراتين لتحديد مؤشرات SCC المختلفة بما في ذلك البقع الخشنة، الآفات المستمرة، والتقرحات المبكرة. ميزة رئيسية هي قدرته على تمييز SCC عن الحالات ما قبل السرطانية من خلال نمذجة المقارنة الطولية، وتتبع تطور الآفات عبر الجسم كله.
Medical Care Technologies (OTC:MDCE) 已推出一个创新的人工智能平台，用于检测鳞状细胞癌（SCC），这是皮肤癌中第二常见的形式。该技术使用先进的机器学习分类器来识别在自我检查中可能被忽视的早期警示信号。
该AI系统利用< b>边缘检测算法和角蛋白模式识别来识别包括粗糙斑块、持续性病变和早期溃疡在内的各种SCC指标。一个关键特征是其通过纵向比较建模来将SCC与癌前状态区分开来，追踪全身病变的演变。
- Development of innovative AI platform for early SCC detection
- Technology capable of detecting warning signs invisible during self-exams
- Advanced features including full-body mapping and longitudinal tracking
- Potential to address a significant health issue affecting thousands annually
- Early stage technology without proven clinical validation
- No mention of FDA approval status or regulatory timeline
- Lack of information about commercialization strategy or revenue potential
MESA, ARIZONA / ACCESS Newswire / September 22, 2025 / Medical Care Technologies Inc. (OTC PINK:MDCE) today announced a significant innovation in dermatological AI: a platform capable of detecting squamous cell carcinoma (SCC), the second most common skin cancer and a condition responsible for more than 15,000 deaths annually in the United States alone.
Early SCC detection is critical, as the cancer can spread to lymph nodes and distant organs if untreated. MDCE's AI platform uses advanced machine learning classifiers to spot early warning signs invisible to patients during self-exams.
How the AI Detects SCC
The system applies edge-detection algorithms and keratin pattern recognition to flag:
Rough, scaly patches or plaques
Persistent erythematous lesions
Early ulcerations characteristic of SCC
Differentiation from precancerous actinic keratosis via longitudinal comparison modeling
By mapping lesions across the entire body and tracking their evolution, the system ensures that high-risk lesions are prioritized for clinical evaluation.
"Our AI doesn't just take snapshots; it builds a timeline of skin health that uncovers hidden dangers before they escalate," said Marshall Perkins, CEO of MDCE. "This technology has the potential to redefine how SCC is caught and treated worldwide."
About Medical Care Technologies Inc.
Medical Care Technologies Inc. (OTC: MDCE) is building a portfolio of AI-powered health solutions spanning dermatology, neurology, and ocular care.
Company Websites: www.medicalcaretechnologies.com | www.mdcestock.com
Forward-Looking Statements: This press release contains forward-looking statements within the meaning of federal securities laws. Actual results may differ materially.
Contact:
Investor Relations
Medical Care Technologies Inc.
info@infiniteauctions.com
Website: www.mdcestock.com
SOURCE: Medical Care Technologies Inc. (OTC PINK:MDCE)
View the original press release on ACCESS Newswire
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