Embed

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<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Genomic Data Integration</title>
    <style>
        .profiling-section {
            font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
            max-width: 1200px;
            margin: 0 auto;
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        .profiling-title {
            color: #d97706;
            font-size: 2.5rem;
            font-weight: 700;
            margin-bottom: 15px;
            line-height: 1.2;
        }

        .profiling-subtitle {
            color: #475569;
            font-size: 1.3rem;
            font-style: italic;
            margin-bottom: 40px;
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            max-width: 800px;
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            gap: 30px;
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            transition: all 0.3s ease;
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        @media (max-width: 768px) {
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            .profiling-title {
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            .profiling-subtitle {
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        @keyframes fadeInUp {
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                transform: translateY(20px);
            }
            to {
                opacity: 1;
                transform: translateY(0);
            }
        }
    </style>
</head>
<body>
    <section class="profiling-section">
        <div class="profiling-container">
            <h2 class="profiling-title">Genomic Data Integration</h2>
            <p class="profiling-subtitle">
                Seamlessly integrate multi-source genomic data for a holistic view of the patient's cancer profile.
            </p>
            
            <div class="features-grid">
                <div class="feature-card">
                    <h3 class="feature-title">
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                            <path d="M9 21H3v-6"></path>
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                            <path d="M3 21l7-7"></path>
                        </svg>
                        One-click Ingest
                    </h3>
                    <p class="feature-description">
                        Of local NGS results, liquid-biopsy reports, and public datasets (TCGA, AACR GENIE).
                    </p>
                </div>

                <div class="feature-card">
                    <h3 class="feature-title">
                        <svg class="feature-icon" viewBox="0 0 24 24" fill="none" stroke="currentColor">
                            <circle cx="12" cy="12" r="3"></circle>
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                        </svg>
                        Harmonized Across Pipelines
                    </h3>
                    <p class="feature-description">
                        Liftover, deduplication, and HGVS normalization done automatically.
                    </p>
                </div>

                <div class="feature-card">
                    <h3 class="feature-title">
                        <svg class="feature-icon" viewBox="0 0 24 24" fill="none" stroke="currentColor">
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                            <line x1="16.24" y1="7.76" x2="19.07" y2="4.93"></line>
                        </svg>
                        Patient Timeline Lens
                    </h3>
                    <p class="feature-description">
                        Merges genomic events with imaging, labs, and outcomes for longitudinal tracking.
                    </p>
                </div>

                <div class="feature-card">
                    <h3 class="feature-title">
                        <svg class="feature-icon" viewBox="0 0 24 24" fill="none" stroke="currentColor">
                            <path d="M12 22s8-4 8-10V5l-8-3-8 3v7c0 6 8 10 8 10z"></path>
                            <path d="M9 12l2 2 4-4"></path>
                        </svg>
                        Secure, Standards-based APIs
                    </h3>
                    <p class="feature-description">
                        Enable bidirectional flow with hospital EMRs and research LIMS.
                    </p>
                </div>
            </div>
        </div>
    </section>
</body>
</html>

OncoMetric Hub

Oncometric Hub is a specialized platform focused on precision oncology. It provides a collaborative space for cancer care professionals, researchers, and patients. The platform offers tools and resources, such as oncology calculators and AI-powered curation, to assist in biomarker identification and the development of targeted therapies. The goal is to provide a comprehensive, data-driven approach to cancer treatment, improving patient outcomes through the integration of genomics, clinical trial data, and personalized medicine.
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