Manalife Core

Manalife Core is the foundation of our digital maternity care platform, built to streamline and elevate the daily workflows of Gynaecologists, clinics, and hospitals. It features a gynaecology-specific Electronic Medical Record (EMR) system inspired from Redbook, along with tools for appointment scheduling, video consultations, and integration with home-based diagnostic devices. The platform also includes a companion app for expectant mothers, enabling them to journal their daily experiences, complete check-ins with their doctors, and access curated educational content. Designed with a strong emphasis on usability and clinical relevance, Manalife Core empowers care providers to deliver more efficient, connected, and personalized maternity care.

Manalife AI

Manalife AI is the intelligence layer of the platform, designed to support clinical decision-making and improve maternal health outcomes through data-driven insights. It leverages machine learning models to analyze patient data, identify potential risks, and generate timely alerts for gynecologists. Key applications include predictive monitoring during antenatal care, automated triaging, and personalized care pathways. Built with explainability and clinician trust in mind, Manalife AI transforms routine care into proactive, precision-driven healthcare.

Clinical Decision Support for Gynaecologists

Manalife AI provides Gynaecologists with real-time, context-aware decision support that enhances clinical accuracy and response time. By continuously analysing patient data—including vitals, symptoms, lab results, and scan reports—the system flags emerging risks such as preeclampsia, gestational diabetes, and fetal growth anomalies. Clinicians receive evidence-backed recommendations that are integrated into their workflow, ensuring timely and informed interventions without added cognitive load.

Cervical Cancer Detection

A flagship capability of Manalife AI is its AI-powered cervical cancer screening tool, which assists clinicians in early detection of pre-cancerous and cancerous lesions from colposcopy or cytology images. The system leverages advanced image processing and deep learning algorithms to highlight suspicious regions and assign risk levels. Designed to augment clinical judgment, this tool improves diagnostic accuracy and enables timely referrals and treatment, especially in low-resource settings where specialist availability may be limited.