Results 101 to 110 of about 1,216,020 (296)

Digital twins to accelerate target identification and drug development for immune‐mediated disorders

open access: yesFEBS Open Bio, EarlyView.
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley   +1 more source

Proof of concept 3D ultrasound strain imaging measuring effect of a ring pessary on avulsed puborectal muscle

open access: yesCommunications Medicine
Background Placement or fitting of a ring pessary is one of the treatment options for women with pelvic organ prolapse (POP), resulting from avulsion. To determine the effect of ring pessary use in these women, usually qualitative measures like a patient
Shreya Das   +5 more
doaj   +1 more source

UiO‐66 metal–organic frameworks in biomedicine: From structural tunability to bioimaging, photodiagnostics, and photodynamic cancer therapy

open access: yesFEBS Open Bio, EarlyView.
UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová   +2 more
wiley   +1 more source

Tracking Motor Progression and Device‐Aided Therapy Eligibility in Parkinson's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To characterise the progression of motor symptoms and identify eligibility for device‐aided therapies in Parkinson's disease, using both the 5‐2‐1 criteria and a refined clinical definition, while examining differences across genetic subgroups.
David Ledingham   +7 more
wiley   +1 more source

Cooperative Training of Deep Aggregation Networks for RGB-D Action Recognition

open access: yes, 2017
A novel deep neural network training paradigm that exploits the conjoint information in multiple heterogeneous sources is proposed. Specifically, in a RGB-D based action recognition task, it cooperatively trains a single convolutional neural network ...
Li, Wanqing   +4 more
core   +1 more source

Some Aspects of Modality in Analytical Mechanics [PDF]

open access: yes, 2002
This paper discusses some of the modal involvements of analytical mechanics. I first review the elementary aspects of the Lagrangian, Hamiltonian and Hamilton-Jacobi approaches. I then discuss two modal involvements; both are related to David Lewis' work
J. Butterfield, Paderborn Mentis
core   +4 more sources

Discovery and Targeted Proteomic Studies Reveal Striatal Markers Validated for Huntington's Disease

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Clinical trials for Huntington's disease (HD) enrolling persons before clinical motor diagnosis (CMD) lack validated biomarkers. This study aimed to conduct an unbiased discovery analysis and a targeted examination of proteomic biomarkers scrutinized by clinical validation. Methods Cerebrospinal fluid was obtained from PREDICT‐HD and
Daniel Chelsky   +8 more
wiley   +1 more source

In-vivo optical properties spectra across five body locations on ten subjects using time-domain diffuse optics

open access: yesScientific Data
We present a comprehensive dataset of absorption and reduced scattering spectra collected via time-domain diffuse optical spectroscopy in the 610-1110 nm range, across 10 subjects and on 5 different body locations – the upper arm, the radius-ulna region,
Vamshi Damagatla   +8 more
doaj   +1 more source

STRUCTURAL-SEMANTIC TYPES OF THE COMBINATION OF THE VERB LASSEN WITH AN INFINITIVE

open access: yesВестник Кемеровского государственного университета, 2017
The  article  examines  the  combination  of  the  German  verb  lassen with an infinitive as an entire infinitival structure, where each component influences the creation of grammatical meanings of the whole structure. On the basis of this point of view
O. A. Smetanina
doaj   +1 more source

Predicting Epileptogenic Tubers in Patients With Tuberous Sclerosis Complex Using a Fusion Model Integrating Lesion Network Mapping and Machine Learning

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu   +11 more
wiley   +1 more source

Home - About - Disclaimer - Privacy