Multi-parametric Scoring

Multi-parametric scoring is a structured method that combines several measurements, clinical findings, or patient characteristics into a single score to support medical assessment and decision-making. It typically assigns values or weights to selected parameters, then aggregates them according to a defined algorithm so that complex clinical information can be compared, stratified, or monitored consistently. In medicine, these scores may help estimate disease severity, predict outcomes, classify risk, guide treatment selection, and evaluate response over time. Their reliability depends on appropriate variable selection, validated scoring rules, and careful interpretation alongside clinical judgment, particularly when patient populations or clinical settings differ.

Multi-parametric Scoring - Related Videos

Research

JoVE Journal - Biology

A Multi-Parametric Islet Perifusion System within a Microfluidic Perifusion Device

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Cited by 5 •

2010

A microfluidic islet perifusion device was developed for the assessment of dynamic insulin secretion of multiple islets and simultaneous fluorescence imaging of calcium influx and mitochondrial potential changes.

Research

JoVE Journal - Neuroscience
Free Sample

Two Algorithms for High-throughput and Multi-parametric Quantification of Drosophila Neuromuscular Junction Morphology

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Cited by 11 •

2017

Two image analysis algorithms, "Drosophila NMJ Morphometrics" and "Drosophila NMJ Bouton Morphometrics" were created, to automatically quantify nine morphological features of the Drosophila neuromuscular junction (NMJ).

The TD Drive: A Parametric, Open-Source Implant for Multi-Area Electrophysiological Recordings in Behaving and Sleeping Rats

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2024

Here, we present a unique, 3D-printable implant for rats, named TD Drive, capable of symmetric, bilateral wire electrode recordings, currently in up to ten distributed brain areas simultaneously.

Quantum State Engineering of Light with Continuous-wave Optical Parametric Oscillators

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Cited by 13 •

2014

We describe the reliable generation of non-Gaussian states of traveling optical fields, including single-photon states and coherent state superpositions, using a conditional preparation method operated on the non-classical light emitted by optical parametric oscillators. Type-I and type-II phase-matched oscillators are considered and common procedures, such as the required frequency filtering or the high-efficiency quantum state characterization by homodyning, are detailed.

Education

JoVE Core - Calculus

Parametric Surfaces

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2026

A parametric surface in three-dimensional space is defined through a vector-valued function\begin{equation*}\mathbf{r}(u, v) = x(u, v)\mathbf{i} + y(u, v)\mathbf{j} + z(u, v)\mathbf{k}\end{equation*}where u and v are parameters within a specified domain D in the uv-plane. The functions x(u, v), y(u, v), and z(u, v) define the coordinates of points on the surface. As u and v vary over D, the position vector r(u, v) traces a continuous surface in space. This parametric representation is essential...

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