update wp and resource descriptions

Author: chrisdburr

src/pages/about/work-packages.astro

@@ -30,15 +30,15 @@ const workPackages = [
 	{
 		id: "WP1",
 		title: "Data Collection and Curation",
-		goal: "Gathering and preparing the essential patient data needed to build, train, and test the digital twins.",
+		goal: "Gathering and preparing the patient data needed to build, train, and test the digital twins.",
 		purpose: [
-			"Bring together existing (retrospective) data from large international, national, and local patient databases and registries for Pulmonary Arterial Hypertension, alongside general population data (e.g., UK Biobank).",
-			"Run a dedicated prospective clinical study to collect new, detailed data from PAH patients over time, using standard care methods, intensive hospital/remote monitoring (e.g. wearables, MRI), and even embedded monitors.",
+			"Bring together existing data from large international, national, and local patient databases and registries for Pulmonary Hypertension, alongside general population data (e.g., UK Biobank).",
+			"Run a prospective clinical study to collect new, detailed data from PAH patients over time, using standard care methods, hospital based investigation and remote monitoring.",
 			"This real-world data collection is vital for driving and evaluating the DT demonstrator.",
 		],
 		leads: ["Alex Rothman", "Martin Wilkins"],
-		currentFocus:
-			"Establishing data sharing agreements and initiating prospective data collection protocols.",
+		// currentFocus:
+		// 	"Establishing data sharing agreements and initiating prospective data collection protocols.",
 	},
 	{
 		id: "WP2",
@@ -65,7 +65,7 @@ const workPackages = [
 		],
 		leads: ["Richard Wilkinson"],
 		currentFocus:
-			"Developing baseline cardiovascular models and initial calibration algorithms using synthetic data.",
+			" Using linear emulators, which enable real-time calibration via a closed form expression, and extending this to a linear state-space model to enable parameters to vary through time.",
 	},
 	{
 		id: "WP4",
@@ -90,8 +90,8 @@ const workPackages = [
 			"Reduce the cost and improve the accuracy of calibrating and forecasting DTs by exploiting collective information within the network.",
 		],
 		leads: ["Elizabeth Cross", "Keith Worden"],
-		currentFocus:
-			"Researching methodologies for federated learning and defining similarity metrics for patient cohorts.",
+		// currentFocus:
+		// 	"Researching methodologies for federated learning and defining similarity metrics for patient cohorts.",
 	},
 	{
 		id: "WP6",

src/pages/resources/modularcirc.astro

@@ -65,38 +65,28 @@ const seo = {
 
 		<div class="mx-auto">
 			<p class="mb-4 text-lg leading-relaxed text-slate-600">
-				ModularCirc is a software toolkit designed to help scientists
-				and engineers create computer simulations of the heart and
-				circulatory system. Think of it as a set of digital building
-				blocks that represent different parts of our cardiovascular
-				system, like heart chambers (e.g., atria and ventricles), valves
-				(which control blood flow direction), and various blood vessels
-				(like arteries and veins).
+				ModularCirc is a Python-based toolkit designed to simulate how
+				blood flows through the body. It focuses on simplified,
+				mathematical representations of the cardiovascular system—known
+				as lumped parameter models. These models approximate key
+				physiological quantities, such as blood pressure or heart
+				chamber volume, using single values that represent entire
+				regions or organs. This approach makes simulations faster and
+				easier to work with while still capturing important dynamics.
 			</p>
 
 			<p class="mb-4 text-lg leading-relaxed text-slate-600">
-				The "modular" part of its name is key. Instead of building a
-				highly detailed 3D anatomical replica, ModularCirc uses a
-				simplified but effective approach. It treats each component as a
-				distinct module with specific functions and properties (e.g.,
-				how elastic a heart chamber is, or how much resistance a vessel
-				offers to blood flow). Researchers can then connect these
-				modules, much like an electrical circuit, to build a complete,
-				functional model of how blood circulates throughout the body.
-			</p>
-
-			<p class="mb-4 text-lg leading-relaxed text-slate-600">
-				This flexibility is powerful. Scientists can easily swap modules
-				or change their characteristics to simulate different scenarios
-				– for example, to study the impact of a leaky heart valve, the
-				stiffening of arteries, or the effect of a potential new
-				treatment. By running these simulations, they can gain insights
-				into how the cardiovascular system works in health and disease,
-				predict changes, and explore "what-if" questions without needing
-				invasive procedures. This makes ModularCirc a valuable tool for
-				those working towards creating "digital twins" of the heart –
-				virtual replicas that can help us better understand, predict,
-				and manage cardiovascular health.
+				The library is built to support users with different levels of
+				expertise. At the simplest level, ModularCirc provides
+				ready-made models that can be loaded and explored without
+				writing much code—ideal for quick testing and learning. For
+				those who want more control, it offers a set of building blocks
+				(like simplified arteries or heart chambers) that can be
+				connected to form custom systems. And for advanced users,
+				ModularCirc makes it possible to create entirely new components
+				from scratch, offering full flexibility to define how each part
+				behaves. This layered design makes it a powerful and adaptable
+				tool for cardiovascular research and education.
 			</p>
 
 			<h2 class="mb-4 text-2xl font-semibold text-slate-700">