Results 151 to 160 of about 20,371,684 (241)

Addressing real-world data gaps: estimating the uk population cost of crohn's disease and ulcerative colitis using a flexible cost-of-illness model informed by the optimal patient journey and IBDUK patient survey 2023. [PDF]

BMC Health Serv Res
MacDonald R, Hex N, Uzdzinska B, Umpleby B, Pocock J, Hawthorne AB, Pollok R, Blackwell J, Din S.   +8 more
europepmc   +1 more source

Use of the PROMIS and Neuro‐QoL to Evaluate Health‐Related Quality of Life following Unilateral Subthalamic Deep Brain Stimulation for Parkinson's Disease

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Subthalamic nucleus deep brain stimulation (STN DBS) improves Parkinson's disease (PD)‐related motor symptoms, but how STN DBS impacts various aspects of patient‐perceived health‐related quality of life (HRQoL) is less clear. The Patient‐Reported Outcome Measurement Instrument (PROMIS) and Quality of Life in Neurological Disorders ...
Sarah A. Brinkerhoff, Frank Robinson, Roy C. Martin, Sandra Morales, Christopher L. Gonzalez, Christopher P. Hurt, Melissa Wade, Gary Cutter, Gitendra Uswatte, Harrison C. Walker, Victor A. Del Bene   +10 more
wiley   +1 more source

Experience-dependent emergence of multi-scale spatial organization during foraging in freely moving marmosets. [PDF]

iScience
El Mahmoudi N, Lanzarini F, Nezhad FZ, Surendran D, Laurens J.   +4 more
europepmc   +1 more source

Multimodal Magnetic Resonance Imaging and Machine Learning Uncovers Distinct Progression Patterns in Friedreich Ataxia

Movement Disorders, EarlyView.
Abstract Background Friedreich ataxia (FRDA) is a rare neurodegenerative disorder with heterogenous clinical progression, complicating prognosis and trial design. Neuroimaging offers objective biomarkers of disease progression, yet variability in progression patterns remains poorly understood.
Susmita Saha, Nellie Georgiou‐Karistianis, Vivienne Teo, Louise A. Corben, David J. Szmulewicz, Lachlan T. Strike, Marcondes C. França Jr., Thiago J.R. Rezende, Ian H. Harding   +8 more
wiley   +1 more source

The Economic and Clinical Impact of Recurring Automated Red Blood Cell Exchange to Manage Sickle Cell Disease in the UK. [PDF]

Pharmacoecon Open
Medland SM, Bainbridge J, Cawson M, Mealing SJ, Yudina A, Eastwood I, de Kreuk A, Besser M, Tsouana E.   +8 more
europepmc   +1 more source

ChatXRD: A LLM‐Driven Framework for Crystal System Classification and Lattice Parameters Prediction Based on XRD

Materials Genome Engineering Advances, EarlyView.
ChatXRD is an LLM‐driven framework that autonomously performs crystal system classification and lattice parameter prediction from XRD data. By integrating a GPT‐5‐based agent with specialized tools and decision tree reasoning, it achieves state‐of‐the‐art accuracy, enabling scalable and reliable high‐throughput materials characterization. ABSTRACT High‐
Xiaoyue He, Qian Cao, Bo Chen, Kun Hu, Yin Xu, Mingjun Xiao, Xin Chen   +6 more
wiley   +1 more source

Health and Economic Impact and Cost-effectiveness of Produce Prescriptions for Diabetes in 50 U.S. States: A Microsimulation Study. [PDF]

Diabetes Care
Wang L, Cudhea F, Deng S, Zhang FF, Wong JB, Kim DD, Mozaffarian D.   +6 more
europepmc   +1 more source

Knowledge‐Constrained Multi‐Objective Reinforcement Learning for Simultaneous Optimization of Printability and Mechanical Properties in Additively Manufactured Superalloys

Materials Genome Engineering Advances, EarlyView.
A knowledge‐constrained multi‐objective reinforcement learning (MORL) framework is proposed, embedding cracking susceptibility as a hard constraint to simultaneously optimize printability and mechanical properties of additively manufactured superalloys.
Pei Liu, Xueting Ren, Shibo Wei, Shuai Guan, Guohao Liu, Teng An, Haiyou Huang, Zhongnan Bi   +7 more
wiley   +1 more source

Decentralized Computation Offloading Strategy via Multi-Agent Deep Reinforcement Learning for Multi-Access Edge Computing Systems. [PDF]

Sensors (Basel)
Adu E, Lee Y, Moon J, Jang S, Bang I, Kim T.   +5 more
europepmc   +1 more source

Coverage‐based rarefaction fails to quantify relative species richness

Oikos, EarlyView.
Coverage‐based rarefaction (CBR) is a high‐profile tool for assessing biodiversity that provides relative species richness estimates by leveraging the Good‐Turing index u to interpolate. In contrast to alternatives such as the Shannon and Simpson indices, CBR's main appeal is providing values in units of species. CBR is tested against a series of other
John Alroy
wiley   +1 more source