Results 231 to 240 of about 3,048 (284)

Digital patient experience tools in multiple sclerosis: a landscape analysis of the global Patient-Reported Outcomes in Multiple Sclerosis (PROMS) initiative. [PDF]

EClinicalMedicine
Tseriotis VS, Peeters LM, Geys L, D'Souza M, van Beek J, Kappos L, Block V, Vermersch P, Zaratin P, Hyde R, Leocani L, eHealth working group of the Patient-Reported Outcomes in Multiple Sclerosis initiative.   +11 more
europepmc   +1 more source

Application of Neural Networks for Advanced Ir Spectroscopy Characterization of Ceria Catalysts Surfaces

Advanced Intelligent Discovery, EarlyView.
A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali, Lachlan Caulfield, Eric Sauter, Alexei Nefedov, Chengwu Yang, Christof Wöll   +5 more
wiley   +1 more source

A lipidomics roadmap: from basic research to societal challenges. [PDF]

Nat Commun
Fedorova M, Bendt AK, Bertrand-Michel J, Fiehn O, Godzien J, Goracci L, Gruber F, Guan XL, Han X, Holčapek M, Kuligowski J, Meikle PJ, Nepachalovich P, O'Donnell VB, Orešič M, Penkov S, Petrović S, Potapov A, Prabutzki P, Righetti L, Ruskovska T, Shevchenko A, Simons K, Spickett CM, Vvedenskaya O, Watts J, Wenk MR, Witting M, Xia Y, Yang B, Domingues MR.   +30 more
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

In Defense of Using Medical Practice Guidelines Defensively: A Response to Stewart and Peck. [PDF]

Am J Law Med
Hall MA.
europepmc   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Algor-Ethics in Diabetes Care: Mapping the Route. [PDF]

Diabetes Metab Res Rev
Bemporad J, De Domenico F, Pozzilli P.
europepmc   +1 more source

Descriptive catalogue of new and standard varieties of fruits /

, 1896
openaire   +2 more sources

A global biodiversity use data infrastructure acknowledging indigenous and local knowledge. [PDF]

NPJ Biodivers
Pankararu CJ, Teixidor-Toneu I, Odonne G, Asante F, Bandeira SO, Barrera-Bello ÁM, Benitez-Capistros FJ, Dahdouh-Guebas F, Dalcin E, Dennehy-Carr ZH, Diallo K, Drouet-Cruz HT, Fonseca-Kruel VS, Gallois S, Gnansounou SC, Hamza AJ, Hugé J, Jordan FM, Kalle R, Khan NI, Kuijper I, Levis C, Lima AS, Mattalia G, Milliken W, Munga CN, Narchi NE, Ngeve MN, Ofori SA, Phartyal SS, Peroni N, Pironon S, Polanía J, Prakofjewa J, Silva MT, Sõukand R, Thomas MB, Ulian T, Uprety Y, Vandebroek I, Ximenes AC, Zank S, Hanazaki N.   +42 more
europepmc   +1 more source

Artificial Intelligence in Healthcare: Balancing Technological Innovation With Health and Care Workforce Priorities. [PDF]

Int J Health Plann Manage
Sriharan A, Kuhlmann E, Correia T, Tahzib F, Czabanowska K, Ungureanu MI, Kumar BN.   +6 more
europepmc   +1 more source