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2 | | -<html lang="en"> |
3 | | -<head> |
4 | | - <meta charset="UTF-8"> |
5 | | - <meta name="viewport" content="width=device-width, initial-scale=1.0"> |
6 | | - <title>BioIntelligence Lab</title> |
7 | | - |
8 | | - <style> |
9 | | - body { |
10 | | - margin: 0; |
11 | | - font-family: "Inter", sans-serif; |
12 | | - color: #222; |
13 | | - line-height: 1.6; |
14 | | - background: #ffffff; |
15 | | - } |
16 | | - |
17 | | - /* NAVIGATION BAR */ |
18 | | - nav { |
19 | | - width: 100%; |
20 | | - padding: 15px 40px; |
21 | | - box-sizing: border-box; |
22 | | - position: sticky; |
23 | | - top: 0; |
24 | | - background: rgba(255,255,255,0.90); |
25 | | - backdrop-filter: blur(8px); |
26 | | - display: flex; |
27 | | - justify-content: space-between; |
28 | | - align-items: center; |
29 | | - border-bottom: 1px solid #eee; |
30 | | - z-index: 1000; |
31 | | - } |
32 | | - |
33 | | - nav .brand { |
34 | | - display: flex; |
35 | | - align-items: center; |
36 | | - gap: 12px; |
37 | | - } |
38 | | - |
39 | | - nav .brand img { |
40 | | - height: 42px; |
41 | | - width: auto; |
42 | | - } |
43 | | - |
44 | | - nav .brand .title { |
45 | | - font-size: 1.4em; |
46 | | - font-weight: 700; |
47 | | - color: #003d99; |
48 | | - } |
49 | | - |
50 | | - nav ul { |
51 | | - list-style: none; |
52 | | - display: flex; |
53 | | - gap: 30px; |
54 | | - margin: 0; |
55 | | - padding: 0; |
56 | | - } |
57 | | - |
58 | | - nav ul li a { |
59 | | - text-decoration: none; |
60 | | - color: #222; |
61 | | - font-weight: 500; |
62 | | - transition: color 0.2s; |
63 | | - } |
64 | | - |
65 | | - nav ul li a:hover { |
66 | | - color: #003d99; |
67 | | - } |
68 | | - |
69 | | - /* HERO SECTION */ |
70 | | - .hero { |
71 | | - text-align: center; |
72 | | - padding: 140px 20px 120px; |
73 | | - background: #f7f9fc; |
74 | | - } |
75 | | - |
76 | | - .hero h1 { |
77 | | - font-size: 3.0em; |
78 | | - font-weight: 700; |
79 | | - margin-bottom: 10px; |
80 | | - color: #111; |
81 | | - } |
82 | | - |
83 | | - .hero p { |
84 | | - margin-top: 10px; |
85 | | - font-size: 1.25em; |
86 | | - color: #666; |
87 | | - max-width: 700px; |
88 | | - margin-left: auto; |
89 | | - margin-right: auto; |
90 | | - } |
91 | | - |
92 | | - .btn-primary { |
93 | | - display: inline-block; |
94 | | - padding: 12px 24px; |
95 | | - background: #0055cc; |
96 | | - color: white; |
97 | | - text-decoration: none; |
98 | | - border-radius: 6px; |
99 | | - font-weight: 500; |
100 | | - margin-top: 30px; |
101 | | - transition: background 0.3s; |
102 | | - } |
103 | | - .btn-primary:hover { |
104 | | - background: #003f99; |
105 | | - } |
106 | | - |
107 | | - /* SECTION HEADERS */ |
108 | | - h2.section-title { |
109 | | - text-align: center; |
110 | | - margin-top: 80px; |
111 | | - margin-bottom: 40px; |
112 | | - font-size: 2em; |
113 | | - font-weight: 600; |
114 | | - } |
115 | | - |
116 | | - /* THREE PILLAR CARDS */ |
117 | | - .pillars { |
118 | | - display: flex; |
119 | | - flex-wrap: wrap; |
120 | | - justify-content: center; |
121 | | - gap: 30px; |
122 | | - padding: 0 20px; |
123 | | - } |
124 | | - |
125 | | - .pillar-card { |
126 | | - background: #ffffff; |
127 | | - box-shadow: 0 2px 8px rgba(0,0,0,0.07); |
128 | | - border-radius: 10px; |
129 | | - width: 300px; |
130 | | - padding: 30px; |
131 | | - text-align: left; |
132 | | - transition: transform 0.2s, box-shadow 0.2s; |
133 | | - } |
134 | | - |
135 | | - .pillar-card:hover { |
136 | | - transform: translateY(-5px); |
137 | | - box-shadow: 0 4px 14px rgba(0,0,0,0.12); |
138 | | - } |
139 | | - |
140 | | - .pillar-card h3 { |
141 | | - margin-top: 0; |
142 | | - font-size: 1.3em; |
143 | | - color: #003d99; |
144 | | - } |
145 | | - |
146 | | - .pillar-card p { |
147 | | - margin: 15px 0 25px; |
148 | | - color: #444; |
149 | | - } |
150 | | - |
151 | | - .pillar-card a { |
152 | | - color: #0055cc; |
153 | | - text-decoration: none; |
154 | | - font-weight: 600; |
155 | | - } |
156 | | - |
157 | | - /* FEATURED TOOLS */ |
158 | | - .tools { |
159 | | - display: flex; |
160 | | - flex-wrap: wrap; |
161 | | - justify-content: center; |
162 | | - gap: 25px; |
163 | | - padding: 20px; |
164 | | - margin-bottom: 50px; |
165 | | - } |
166 | | - |
167 | | - .tool-card { |
168 | | - background: #f7f9fc; |
169 | | - border-radius: 10px; |
170 | | - padding: 25px 30px; |
171 | | - width: 260px; |
172 | | - text-align: center; |
173 | | - box-shadow: 0 1px 6px rgba(0,0,0,0.08); |
174 | | - } |
175 | | - |
176 | | - /* FOOTER */ |
177 | | - footer { |
178 | | - background: #f1f3f6; |
179 | | - padding: 40px 20px; |
180 | | - text-align: center; |
181 | | - font-size: 0.9em; |
182 | | - color: #777; |
183 | | - margin-top: 60px; |
184 | | - } |
185 | | - </style> |
186 | | -</head> |
187 | | - |
188 | | -<body> |
189 | | - |
190 | | - <!-- NAVIGATION BAR WITH LOGO --> |
191 | | - <nav> |
192 | | - <div class="brand"> |
193 | | - <img src="images/Lab_logo3.png" alt="BioIntelligence Lab Logo"> |
194 | | - <div class="title">BioIntelligence Lab</div> |
195 | | - </div> |
196 | | - |
197 | | - <ul> |
198 | | - <li><a href="#research">Research</a></li> |
199 | | - <li><a href="#tools">Software</a></li> |
200 | | - <li><a href="#people">People</a></li> |
201 | | - <li><a href="#contact">Contact</a></li> |
202 | | - </ul> |
203 | | - </nav> |
204 | | - |
205 | | - <!-- HERO --> |
206 | | - <section class="hero"> |
207 | | - <h1>BioIntelligence Lab</h1> |
208 | | - <p>Understanding biological systems with artificial intelligence.</p> |
209 | | - <a href="#research" class="btn-primary">Explore Our Research</a> |
210 | | - </section> |
211 | | - |
212 | | - <!-- RESEARCH AREAS --> |
213 | | - <h2 class="section-title" id="research">Research Areas</h2> |
214 | | - |
215 | | - <div class="pillars"> |
216 | | - |
217 | | - <!-- Fundamental AI --> |
| 1 | +--- |
| 2 | +layout: default |
| 3 | +title: BioIntelligence Lab |
| 4 | +--- |
| 5 | + |
| 6 | +<section class="hero"> |
| 7 | + <h1>BioIntelligence Lab</h1> |
| 8 | + <p class="subtitle">Understanding biological systems with Artificial Intelligence.</p> |
| 9 | + |
| 10 | + <p class="lead"> |
| 11 | + We develop AI methods and imaging-based models to reveal hidden structure in disease and population health. |
| 12 | + Our work spans foundational AI, computational biomedical discovery, and the informatics tools that make |
| 13 | + these advances usable in practice. |
| 14 | + </p> |
| 15 | + |
| 16 | + <a href="{{ '/research/biomedical-imaging/' | relative_url }}" class="btn-primary"> |
| 17 | + Explore our research |
| 18 | + </a> |
| 19 | +</section> |
| 20 | + |
| 21 | +<section> |
| 22 | + <h2 class="section-title">Research Pillars</h2> |
| 23 | + <div class="pillar-grid"> |
218 | 24 | <div class="pillar-card"> |
219 | | - <h3>Fundamental AI Research</h3> |
220 | | - <p> This research vertical focuses on developing the core AI methods needed to understand complex biological systems. |
221 | | - Our work spans lifelong learning <strong>(ShELL)</strong>, counterfactual modeling, |
222 | | - AI safety and trustworthiness, and autonomous agentic systems capable of scientific reasoning.</p> |
223 | | - <a href="fundamental-ai.html">Learn More →</a> |
| 25 | + <h3>Fundamental AI</h3> |
| 26 | + <p> |
| 27 | + Algorithms for safe, trustworthy, and collaborative AI systems, including bias modeling, |
| 28 | + uncertainty, and human–AI ecosystems such as SheLL. |
| 29 | + </p> |
| 30 | + <a href="{{ '/research/fundamental-ai/' | relative_url }}">Learn more →</a> |
224 | 31 | </div> |
225 | 32 |
|
226 | | - <!-- Biomedical Discovery --> |
227 | 33 | <div class="pillar-card"> |
228 | 34 | <h3>Computational Biomedical Discovery</h3> |
229 | | - <p> This research vertical focuses on using AI to uncover mechanistic signatures of disease and population health. |
230 | | - Our work focuses on modeling how diseases evolve, how treatments work, and how clinical imaging can reveal |
231 | | - hidden biological patterns across individuals and populations.</p> |
232 | | - <a href="biomedical-discovery.html">Learn More →</a> |
| 35 | + <p> |
| 36 | + Imaging-based models that characterize disease mechanisms and population-level patterns, from tumor |
| 37 | + connectomics to opportunistic screening and dementia risk. |
| 38 | + </p> |
| 39 | + <a href="{{ '/research/biomedical-imaging/' | relative_url }}">Learn more →</a> |
233 | 40 | </div> |
234 | 41 |
|
235 | | - <!-- Informatics --> |
236 | 42 | <div class="pillar-card"> |
237 | | - <h3>Computational Systems & Informatics</h3> |
238 | | - <p>This research vertical focuses on building tools that enable scientific discovery at scale. |
239 | | - These systems make imaging research faster, reproducible, and more accessible — |
240 | | - supporting both our AI foundations and biomedical discovery efforts.</p> |
241 | | - <a href="informatics.html">Learn More →</a> |
242 | | - </div> |
243 | | - |
244 | | - </div> |
245 | | - |
246 | | - <!-- TOOLS --> |
247 | | - <h2 class="section-title" id="tools">Featured Tools</h2> |
248 | | - |
249 | | - <div class="tools"> |
250 | | - <div class="tool-card"> |
251 | | - <h3>MIST</h3> |
252 | | - <p>Medical Image Streaming Toolkit for resource-efficient imaging AI.</p> |
253 | | - </div> |
254 | | - |
255 | | - <div class="tool-card"> |
256 | | - <h3>VoxelInsight</h3> |
257 | | - <p>An agentic imaging platform for automated analysis and scientific workflows.</p> |
258 | | - </div> |
259 | | - |
260 | | - <div class="tool-card"> |
261 | | - <h3>ISLE</h3> |
262 | | - <p>Intelligent streaming for clinical AI inference using progressive encoding.</p> |
| 43 | + <h3>Informatics & Tools</h3> |
| 44 | + <p> |
| 45 | + Software platforms such as MIST and VoxelInsight that enable scalable data access, analysis, and |
| 46 | + automated research workflows in medical imaging. |
| 47 | + </p> |
| 48 | + <a href="{{ '/research/informatics/' | relative_url }}">Learn more →</a> |
263 | 49 | </div> |
264 | 50 | </div> |
265 | | - |
266 | | - <!-- FOOTER --> |
267 | | - <footer id="contact"> |
268 | | - <p>© 2025 BioIntelligence Lab · UTHealth Houston</p> |
269 | | - <p>Contact: vishwa.s.parekh@uth.tmc.edu</p> |
270 | | - </footer> |
271 | | - |
272 | | -</body> |
273 | | -</html> |
| 51 | +</section> |
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