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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Health Computing Lab</title>
<style>
* {
margin: 0;
padding: 0;
box-sizing: border-box;
}
body {
font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
line-height: 1.6;
color: #333;
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color: white;
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justify-content: center;
flex-wrap: wrap;
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nav a {
color: white;
text-decoration: none;
padding: 10px 20px;
display: block;
transition: background 0.3s;
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nav a:hover {
background: #667eea;
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.container {
max-width: 1200px;
margin: 0 auto;
padding: 40px 20px;
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section {
background: white;
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padding: 40px;
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box-shadow: 0 4px 12px rgba(0, 0, 0, 0.1);
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section h2 {
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footer {
background: #333;
color: white;
text-align: center;
padding: 30px 20px;
margin-top: 40px;
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display: grid;
grid-template-columns: repeat(auto-fit, minmax(250px, 1fr));
gap: 20px;
margin-top: 20px;
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.contact-card {
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font-weight: bold;
cursor: pointer;
transition: color 0.3s;
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.modal-close:hover {
color: #667eea;
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@media (max-width: 768px) {
header h1 {
font-size: 1.8em;
}
nav ul {
flex-direction: column;
}
nav a {
text-align: center;
}
section {
padding: 25px;
}
.modal-content {
margin: 30% auto;
width: 85%;
}
}
</style>
</head>
<body>
<header>
<h1>🏥 Health Computing Lab</h1>
<p>Advancing Healthcare Through Computational Innovation</p>
</header>
<nav>
<ul>
<li><a href="https://healthcomputinglab.github.io/">Home</a></li>
<li><a href="#about">About</a></li>
<li><a href="#research">Research</a></li>
<li><a href="#" id="contactBtn">Contact</a></li>
<li><a href="https://github.com/HealthComputingLab/">Repositories</a></li>
</ul>
</nav>
<div id="contactModal" class="modal">
<div class="modal-content">
<span class="modal-close">×</span>
<h2>Contact Information</h2>
<p><strong>Name:</strong> Alexander</p>
<p><strong>Email:</strong> <a href="mailto:mysoft@111.com" style="color: #667eea; text-decoration: none;">mysoft@111.com</a></p>
</div>
</div>
<div class="container">
<section id="about">
<h2>About Us</h2>
<p>The Health Computing Lab is dedicated to advancing the intersection of computer science and healthcare. We develop innovative computational solutions that leverage cutting-edge technologies to improve health outcomes, enable better medical decision-making, and create more efficient healthcare systems.</p>
<p style="margin-top: 15px;">Our interdisciplinary team combines expertise in computer science, artificial intelligence, and health informatics to tackle complex challenges in modern medicine and healthcare delivery.</p>
</section>
<section id="research">
<h2>Research Areas</h2>
<div class="research-areas">
<div class="research-card">
<h3>Computational Geometry</h3>
<p>Geometric algorithms and spatial analysis for medical imaging and surgical planning</p>
</div>
<div class="research-card">
<h3>Computer Vision</h3>
<p>Image analysis and visual processing for medical diagnostics and imaging</p>
</div>
<div class="research-card">
<h3>Deep Learning</h3>
<p>Neural networks for pattern recognition in medical data and imaging</p>
</div>
<div class="research-card">
<h3>Reinforcement Learning</h3>
<p>Adaptive decision-making systems for treatment planning and robotics</p>
</div>
<div class="research-card">
<h3>Computer Graphics</h3>
<p>Visualization and 3D rendering for surgical simulation and planning</p>
</div>
<div class="research-card">
<h3>Image Processing</h3>
<p>Signal and image enhancement for improved medical analysis</p>
</div>
<div class="research-card">
<h3>Neural Networks</h3>
<p>Advanced AI models for predictive analytics and diagnostics</p>
</div>
<div class="research-card">
<h3>Simulation & Modeling</h3>
<p>Physics-based and data-driven simulations for medical applications</p>
</div>
<div class="research-card">
<h3>Human-Computer Interaction</h3>
<p>Intuitive interfaces for clinicians, patients, and researchers</p>
</div>
<div class="research-card">
<h3>Immersive Environments</h3>
<p>VR and AR technologies for training, diagnosis, and patient engagement</p>
</div>
<div class="research-card">
<h3>AI + Medicine</h3>
<p>Clinical decision support and diagnostic assistance systems</p>
</div>
<div class="research-card">
<h3>AI + Health</h3>
<p>Population health analytics and preventive health technologies</p>
</div>
<div class="research-card">
<h3>Robotics</h3>
<p>Surgical robots and autonomous systems for healthcare delivery</p>
</div>
<div class="research-card">
<h3>VR & AR & MR</h3>
<p>Virtual, augmented, and mixed reality technologies for medical applications</p>
</div>
<div class="research-card" style="background: linear-gradient(135deg, #999 0%, #666 100%); display: flex; align-items: center; justify-content: center;">
<h3 style="font-size: 3em; margin: 0;">...</h3>
</div>
</div>
</section>
<section id="contact">
<h2>Get In Touch</h2>
<div class="contact-info">
<div class="contact-card">
<h3>Email</h3>
<p><a href="mailto:mysoft@111.com" style="color: #667eea; text-decoration: none;">mysoft@111.com</a></p>
</div>
<div class="contact-card">
<h3>Location</h3>
<p>Health Computing Lab<br>On Cloud, Web</p>
</div>
<div class="contact-card">
<h3>Follow Us</h3>
<p>GitHub • Twitter • LinkedIn</p>
</div>
</div>
</section>
</div>
<footer>
<p>© 2025 Health Computing Lab. All rights reserved.</p>
<p>Advancing Healthcare Through Computational Innovation</p>
</footer>
<script>
const modal = document.getElementById("contactModal");
const contactBtn = document.getElementById("contactBtn");
const closeBtn = document.querySelector(".modal-close");
contactBtn.addEventListener("click", function(e) {
e.preventDefault();
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if (e.target === modal) {
modal.style.display = "none";
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</script>
</body>
</html>