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Medical Care Technologies Inc. Unveils AI Facial Analysis for Early Diabetes Detection

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Medical Care Technologies (OTC:MDCE) has announced the development of an innovative AI Facial Health Risk Estimator for early diabetes detection. The technology analyzes facial biomarkers including skin tone irregularities, microvascular patterns, and elasticity loss to predict Type 2 diabetes risk before clinical diagnosis.

The non-invasive system uses predictive algorithms to assess diabetes susceptibility through facial analysis, potentially enabling earlier interventions and better patient outcomes, according to CEO Marshall Perkins.

Medical Care Technologies (OTC:MDCE) ha annunciato lo sviluppo di un innovativo Stimatore AI del rischio per la salute del volto per il rilevamento precoce del diabete. La tecnologia analizza biomarcatori facciali tra cui irregolarità del tono della pelle, modelli microvascolari e perdita di elasticità per prevedere il rischio di diabete di tipo 2 prima della diagnosi clinica.

Il sistema non invasivo utilizza algoritmi predittivi per valutare la suscettibilità al diabete tramite l’analisi facciale, potenzialmente permettendo interventi tempestivi e migliori esiti per i pazienti, secondo il CEO Marshall Perkins.

Medical Care Technologies (OTC:MDCE) ha anunciado el desarrollo de un innovador Estimador de Riesgo Facial basado en IA para la Salud para la detección temprana de la diabetes. La tecnología analiza biomarcadores faciales, como irregularidades en el tono de la piel, patrones microvasculares y pérdida de elasticidad, para predecir el riesgo de diabetes tipo 2 antes de un diagnóstico clínico.

El sistema no invasivo utiliza algoritmos predictivos para evaluar la susceptibilidad a la diabetes mediante el análisis facial, lo que podría permitir intervenciones tempranas y mejores resultados para los pacientes, según el CEO Marshall Perkins.

Medical Care Technologies(OTC:MDCE)가 조기 당뇨 감지를 위한 혁신적인 AI 안면 건강 위험 추정기의 개발을 발표했습니다. 이 기술은 피부색 불균형, 미세혈관 패턴, 탄력 저하 등 얼굴 생체지표를 분석하여 임상 진단 이전에 제2형 당뇨 위험을 예측합니다.

비침습 시스템은 예측 알고리즘을 사용해 얼굴 분석을 통해 당뇨 취약성을 평가하며, 조기 개입과 더 나은 환자 결과를 가능하게 할 수 있다고 CEO 마샬 퍼킨스가 밝혔습니다.

Medical Care Technologies (OTC:MDCE) a annoncé le développement d’un estimateur AI du risque facial pour la santé pour la détection précoce du diabète. La technologie analyse des biomarqueurs faciaux tels que les irrégularités du teint, les motifs microvasculaires et la perte d’élasticité pour prédire le risque de diabète de type 2 avant le diagnostic clinique.

Le système non invasif utilise des algorithmes prédictifs pour évaluer la susceptibilité au diabète via l’analyse faciale, permettant potentiellement des interventions plus précoces et de meilleurs résultats pour les patients, selon le PDG Marshall Perkins.

Medical Care Technologies (OTC:MDCE) hat die Entwicklung eines innovativen KI-Gesundheitsrisiko-Estimators für das Gesicht zur frühen Erkennung von Diabetes angekündigt. Die Technologie analysiert Gesichtsbiomarker wie Hauttönungsunregelmäßigkeiten, mikrovaskuläre Muster und Elastizitätsverlust, um das Risiko für Typ-2-Diabetes vor der klinischen Diagnose vorherzusagen.

Das nicht-invasive System verwendet prädiktive Algorithmen, um die Diabetes-Anfälligkeit durch Gesichtsanalyse zu bewerten, was laut CEO Marshall Perkins möglicherweise frühere Interventionen und bessere Ergebnisse für Patienten ermöglicht.

أعلنت شركة Medical Care Technologies (OTC:MDCE) عن تطوير مقدر مخاطر صحة الوجه بالذكاء الاصطناعي للكشف المبكر عن مرض السكري. التقنية تحلل علامات بيولوجية وجهية بما في ذلك عدم انتظام لون البشرة ونماذج الشعيرات الدقيقة وفقدان المرونة لتوقع مخاطر النوع 2 من السكري قبل التشخيص السريري.

يسيـر النظام غير الجراحي خوارزميات تنبؤية لتقييم قابلية الإصابة بالسكري من خلال التحليل الوجهي، مما قد يمكّن من تدخلات مبكرة وتحسين النتائج للمرضى، وفقاً للرئيس التنفيذي مارشال بيركنز.

Medical Care Technologies(OTC:MDCE)宣布开发一款创新的 AI 面部健康风险评估器,用于早期糖尿病检测。该技术通过分析面部生物标志物,包括皮肤色调不均、微血管模式和弹性下降,来在临床诊断前预测2型糖尿病风险。

该非侵入系统使用预测算法,通过面部分析评估糖尿病易感性,可能实现更早的干预并改善患者结果,首席执行官 Marshall Perkins 表示。

Positive
  • Development of innovative AI-powered diabetes detection technology
  • Non-invasive early detection method could enable preventive interventions
  • Technology has potential to identify diabetes years before clinical diagnosis
Negative
  • No clinical validation data or accuracy rates provided
  • Early-stage technology without proven market adoption
  • No regulatory approval status mentioned

MESA, ARIZONA / ACCESS Newswire / September 24, 2025 / Medical Care Technologies Inc. (OTC PINK:MDCE) announced a breakthrough in diabetes detection with its AI Facial Health Risk Estimator.

The platform extracts subtle facial biomarkers-including skin tone irregularities, microvascular patterns, and elasticity loss-which correlate with early insulin resistance and Type 2 diabetes risk. By layering these signals with predictive algorithms, MDCE's system delivers a personalized, non-invasive forecast of diabetes susceptibility.

"This technology can possibly identify diabetes years before it's diagnosed in the clinic," said Marshall Perkins, CEO of MDCE. "By enabling earlier interventions, we can likely reduce complications and improve patient outcomes."

Company Websites: www.medicalcaretechnologies.com | www.mdcestock.com

About Medical Care Technologies Inc.
Medical Care Technologies Inc. (OTC PINK:MDCE) provides AI-driven preventive healthcare solutions, offering non-invasive, personalized risk assessments for systemic, ocular, and dermatological conditions.

Safe Harbor Statement:
This press release contains forward-looking statements, which involve risks and uncertainties that may cause actual results to 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

FAQ

What is MDCE's new AI Facial Health Risk Estimator technology?

MDCE's AI Facial Health Risk Estimator is a technology that analyzes facial biomarkers including skin tone irregularities, microvascular patterns, and elasticity loss to predict Type 2 diabetes risk before clinical diagnosis.

How does Medical Care Technologies' AI diabetes detection system work?

The system works by extracting subtle facial biomarkers and using predictive algorithms to analyze skin tone irregularities, microvascular patterns, and elasticity loss, which correlate with early insulin resistance and Type 2 diabetes risk.

What are the benefits of MDCE's AI facial analysis for diabetes detection?

The technology offers non-invasive early detection of diabetes risk, potentially identifying the condition years before clinical diagnosis, enabling earlier interventions and improved patient outcomes.

Who is the CEO of Medical Care Technologies (MDCE)?

Marshall Perkins is the CEO of Medical Care Technologies Inc.

What is the potential impact of MDCE's AI diabetes detection technology?

The technology could potentially enable earlier diabetes interventions and improve patient outcomes by identifying diabetes risk years before traditional clinical diagnosis.
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