150150 < div class ="container ">
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152152 < a class ="navbar-brand " href ="index.html ">
153- < img class ="h-12 w-auto " src ="assets/img/MONAI-logo_color .png " alt ="Logo ">
153+ < img class ="h-12 w-auto " src ="assets/img/MONAI-logo_color_full .png " alt ="Logo ">
154154 </ a >
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228228
229229 < main class ="flex-grow pt-20 ">
230230 <!-- About Section -->
231- < section id ="about " class ="py-24 ">
231+ < section id ="about " class ="py-24 bg-white ">
232232 < div class ="container ">
233233 < div class ="flex flex-wrap items-center ">
234234 < div class ="w-full lg:w-1/2 ">
235- < h2 class ="mb-6 section-heading "> About MONAI</ h2 >
235+ < h1 class ="text-4xl font-bold text-gray-800 mb-8 "> About MONAI</ h1 >
236236 < div class ="w-full sm:3/5 ">
237- < p class ="py-2 ">
237+ < p class ="text-lg leading-relaxed text-gray-700 mb-4 ">
238238 Project MONAI is a collaborative initiative that brings together leading researchers, clinicians, and industry experts
239239 to advance medical imaging AI. Originally started by NVIDIA and King's College London, MONAI has grown into a vibrant
240240 community focused on developing and sharing best practices, tools, and frameworks for healthcare imaging across academia
241241 and enterprise.
242242 </ p >
243- < p class ="py-2 ">
243+ < p class ="text-lg leading-relaxed text-gray-700 mb-4 ">
244244 Our mission is to accelerate the adoption of AI in healthcare imaging by providing robust, validated tools and fostering
245245 collaboration between researchers, clinicians, and industry partners. Building upon the foundations laid by toolkits like
246246 NVIDIA Clara Train, NiftyNet, DLTK, and DeepNeuro, MONAI Core has emerged as our flagship framework, embodying the
@@ -256,21 +256,21 @@ <h2 class="mb-6 section-heading">About MONAI</h2>
256256 </ section >
257257
258258 <!-- Advisory Board Section -->
259- < section id ="advisory-board " class ="py-12 bg-brand-dark/15 ">
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260260 < div class ="container ">
261- < h2 class ="section-heading text-3xl md:text-4xl font-bold mb-4 "> Advisory Board</ h2 >
261+ < h2 class ="text-3xl font-bold text-neutral-darkestblack mb-8 "> Advisory Board</ h2 >
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263- < p class ="text-gray-700 mb-4 ">
263+ < p class ="text-lg leading-relaxed text- gray-700 mb-4 ">
264264 The MONAI Advisory Board brings together distinguished leaders from academia, healthcare, and industry who guide our
265265 strategic direction and ensure alignment with the needs of the medical imaging community. Our board members contribute
266266 their diverse expertise to shape MONAI's development and impact in healthcare AI.
267267 </ p >
268- < p class ="text-gray-700 mb-4 ">
268+ < p class ="text-lg leading-relaxed text- gray-700 mb-4 ">
269269 Board members play a crucial role in maintaining MONAI's technical excellence, clinical relevance, and ethical standards.
270270 They provide strategic oversight across various aspects including technical development, clinical validation, educational
271271 initiatives, and community engagement.
272272 </ p >
273- < p class ="text-gray-700 mb-4 ">
273+ < p class ="text-lg leading-relaxed text- gray-700 mb-6 ">
274274 Through regular collaboration with working groups and the broader community, the Advisory Board ensures that MONAI
275275 continues to meet the evolving needs of researchers, clinicians, and industry partners while advancing the field of
276276 medical imaging AI.
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