Zenos.AI.github.io/index.html at main · Nielssss99/Zenos.AI.github.io · GitHub

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<!DOCTYPE html>
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<title>Zenos.AI</title>
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<header class="hero-section">
    <img src="/Zenos.AI.github.io/Images/Logo.png" alt="Zenos.AI Logo" class="hero-image">
    <h1><span class="main-text">Zenos</span><span class="accent">.AI</span></h1>
    <p class="tagline">
        Computational Physiology Without Limits
    </p>
</header>

<main>
    <div class="section-separator"></div>

    <section class="content-section">
        <h2>Models of Physiology</h2>
        <p class="pjust">
            Whether it's engineering the next generation of human-centric products, developing safer protective gear, or designing more efficient
            physical training programs, models of human physiology can provide you with <span class="white-bold">new insights</span>, while <span class="white-bold">limiting the need for resource-intensive
            experimental testing</span>.
        </p>
    </section>

    <div class="section-separator"></div>

    <section class="content-section">
        <h2>Lack of Alternatives</h2>
        <p class="pjust">
            Unfortunately, current methods for modeling human physiology are <span class="white-bold">severely limited</span>.
            They often rely on <span class="white-bold">purely statistically derived</span>,
            and <span class="white-bold">isolated</span> physiological mechanisms.
        </p>

        <div class="card-container">
            <div class="card">
                <h3>Why is this a Problem?</h3>
                <ul>
                    <li class="has-details">
                        Some variables are non-measurable
                        <div class="details-content">
                            The existence of non-measurable variables implies that models <strong>cannot be fit on all underlying subprocesses</strong>.
                            E.g. we cannot (yet) measure the neural mechanisms of sweat secretion. This is <strong>highly problematic</strong>
                            when good data quality and quantity cannot be assured.
                        </div>
                    </li>

                    <li class="has-details">
                        Few scenarios are measured
                        <div class="details-content">
                            Regarding the data quality, one aspect is the diversity. <strong>The diversity of experimental scenarios is low.</strong>
                            E.g. we do not have data at every possible combination of humidity, exercise intensity, and temperature. But most problematic
                            is that <strong>data regarding extreme scenarios is super scarce, or even absent.</strong>
                        </div>
                    </li>

                    <li class="has-details">
                        Datasets are small and noisy
                        <div class="details-content">
                            Experiments often measure a <strong>few variables at a time on a very limited amount of participants.</strong> When one variable
                            is measured, another variable is absent, and so on. The <strong>collected data is also inherently noisy</strong>, as the human body is
                            non-deterministic.
                        </div>
                    </li>

                    <li class="has-details">
                        The body is complex and integrated
                        <div class="details-content">
                            Human physiology is a function of trillions of cells that constantly interact. Therefore,
                            <strong>describing physiological mechanisms in isolation might be too simplistic.</strong>
                        </div>
                    </li>
                </ul>
            </div>

            <div class="card">
                <h3>What are the Consequences?</h3>
                <ul>
                    <li class="has-details">
                        Low generalizability
                        <div class="details-content">
                            Due to limited and flawed training data in addition to the use of non-mechanism based models, <strong>significant out of
                            context errors might be expected.</strong> For example, the literature reports a <strong>1.7 - 2.8x</strong> increase in error
                            with <strong>ONLY</strong> slight shifts in exercise intensity (Psikuta et al., 2011).
                        </div>
                    </li>

                    <li class="has-details">
                        Scenarios cannot be modeled
                        <div class="details-content">
                        Scenarios that include manipulation of variables that are not included in the non-mechanism based models,
                        <strong>cannot be modeled.</strong> An example is the thermophysiological response in case of high blood loss.
                        </div>
                    </li>

                    <li class="has-details">
                        Limited actionable insights
                        <div class="details-content">
                        As models are not based on real working mechanisms, <strong>no informative feedback can be provided.</strong>
                        Important questions remain; <em>Why are the results as observed?</em> and <em>How can we improve our product/strategy?</em>
                        </div>
                    </li>
                </ul>
            </div>
    </div>
    </section>

    <div class="section-separator"></div>

    <section class="content-section">
        <h2> <i class="fa-solid fa-bolt blue-icon"></i> Our Solution <i class="fa-solid fa-bolt blue-icon"></i> </h2>
        <p class="pjust">
            <span class="white-bold">Zenos.AI will offer a model that changes the game</span>. We will combine statistical methods, multidimensional data, and
            huge amounts of domain knowledge to create a <span class="white-bold">more informative and better generalizable model</span> of the human body.
            <br>
            <br>
            In this way <span class="white-bold">Zenos.AI</span> will not just become another mediocre research tool, but a
            <span class="white-bold">holistic framework</span> that gives you a complete and accurate picture of human physiology.
        </p>
    </section>

    <div class="section-separator"></div>

    <section class="content-section">
        <h2>Key Features</h2>
        <div class="section-grid">
            <div class="grid-item">
                <img src="Images/Arrow.png" alt="Arrow Icon">
                <h3>Improved Accuracy</h3>
                <p>Enjoy more stable model performance across conditions.</p>
            </div>

            <div class="grid-item">
                <img src="Images/SwissKnife.png" alt="SwissKnife Icon">
                <h3>Wider Application Domain</h3>
                <p>Play with and manipulate components of the human body, and watch their effects unfold in real time.</p>
            </div>

            <div class="grid-item">
                <img src="Images/Insights.png" alt="Insights">
                <h3>Actionable Insights</h3>
                <p>Have access to unprecedented information on underlying processes. </p>
            </div>

            <div class="grid-item">
                <img src="Images/Save.png" alt="Save">
                <h3>Save Resources</h3>
                <p>Test new hypotheses, and save resources by optimizing products, and plans in simulation. </p>
            </div>
        </div>
    </section>

    <div class="section-separator"></div>

    <section class="content-section">
        <h2>Who Is This For?</h2>
        <div class="section-grid">
            <div class="grid-item">
                <img src="Images/Engineer.png" alt="Engineer Icon">
                <h3>Engineers</h3>
                <p>Ensure that the product has the intended effect on the user, or does not negatively impact the user.</p>
            </div>
            <div class="grid-item">
                <img src="Images/Organizer.png" alt="Organizer Icon">
                <h3>Event Organizers</h3>
                <p>Minimize health-related risks by performing simulations for the expected environmental conditions.</p>
            </div>
            <div class="grid-item">
                <img src="Images/Physical.png" alt="Physical Icon">
                <h3>Physical Training</h3>
                <p>Increase the accuracy of training load quantification, the design of training sessions, and pacing strategies.</p>
            </div>
            <div class="grid-item">
                <img src="Images/HealthCare.png" alt="Health Care Icon">
                <h3>Health Care</h3>
                <p>Evaluate the impacts of surgery or improvement of function (e.g. cardiac output) on the physiological system, and assess the risks of exercise and environmental conditions for patients.</p>
            </div>
            <div class="grid-item">
                <img src="Images/Researcher.png" alt="Researcher Icon">
                <h3>Researchers</h3>
                <p>Develop and test hypotheses, (pre-)simulate experiments, and build models on top of a whole body model.</p>
            </div>
        </div>
    </section>

    <div class="section-separator"></div>

    <section class="content-section">
        <h2>Roadmap</h2>
    </section>

    <img src="Images/TimeLine.png" alt="Timeline" class="Roadmap-image">

    <div class="section-separator"></div>

    <section class="content-section">
        <h2>Be the First to Know</h2>
        <p>Join our early access list to get updates and be notified when we launch.</p>
        <form class="notify-container" action="https://formspree.io/f/xzzvnayy" method="POST">
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            <button type="submit">Notify Me</button>
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