Results 71 to 80 of about 12,665,411 (293)

The Effect of High-Standard Farmland Construction Policy on Grain Harvest Losses in China

Land
The United Nations included reducing harvest losses as a Sustainable Development Goal in 2015, sparking heightened research and policymaker interest in reducing losses to ensure food security.
Nanyan Hu, Yonghao Hu, Yi Luo, Laping Wu
doaj   +1 more source

Enhancing Oncological Care for India's Aging Population: Addressing the Complex Needs of Older Adults With Cancer

Aging and Cancer, EarlyView.
Aging‐associated physiological and molecular alterations pose significant challenges in cancer management among India's elderly. Limited geriatric oncology expertise, financial constraints, and inadequate specialized care exacerbate disparities. Strategic expansion of insurance coverage, integration of palliative care, and infrastructural advancements ...
Nihanthy D. Sreenath, Mathigatta Shivarudraiah S, Rajath Govind, Kaushik M R   +3 more
wiley   +1 more source

Re‐Awakening Public Attention to the Silent Pandemic of Cancer Among Older Adults in Low‐ and Middle‐Income Countries

Aging and Cancer, EarlyView.
ABSTRACT As global populations age, cancer is increasingly becoming a leading cause of morbidity and mortality among older adults, particularly in low‐ and middle‐income countries (LMICs). Despite accounting for the majority of new cancer cases and deaths, older individuals remain underrepresented in cancer research, clinical guidelines, and health ...
Ibrahim Bidemi Abdullateef, Sunkanmi Folorunsho, Abdulazeez Opeyemi Abdulganiyu   +2 more
wiley   +1 more source

Fluid and Neuroimaging Biomarkers in Microgliopathy Colony‐Stimulating Factor‐1 Receptor‐Related Disorders

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective This study aims to identify both fluid and neuroimaging biomarkers for CSF1R‐RD that can inform the optimal timing of treatment administration to maximize therapeutic benefit, while also providing sensitive quantitative measurements to monitor disease progression.
Tomasz Chmiela, Madison Reeves, Karen Jansen‐West, Judith Dunmore, Yuping Song, Audrey Strongosky, Sunil Gandhi, Gilana Pikover, Matt Blurton‐Jones, Robert C. Spitale, Erik H. Middlebrooks, Leonard Petrucelli, Mercedes Prudencio, Zbigniew K. Wszolek   +13 more
wiley   +1 more source

Deep Learning–Assisted Differentiation of Four Peripheral Neuropathies Using Corneal Confocal Microscopy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Peripheral neuropathies contribute to patient disability but may be diagnosed late or missed altogether due to late referral, limitation of current diagnostic methods and lack of specialized testing facilities. To address this clinical gap, we developed NeuropathAI, an interpretable deep learning–based multiclass classification ...
Chaima Ben Rabah, Ioannis N. Petropoulos, Mark Stettner, Maryam Ferdousi, Uazman Alam, Nathan Efron, Ahmed Serag, Rayaz A. Malik   +7 more
wiley   +1 more source

Conceptual Development Informing the Kidney Failure Patient Life Goals Survey

Kidney Medicine
Rationale & Objectives: To report on the qualitative study supporting concept elicitation and item development for a new survey assessing discussion of patient life goals (D-PaLS) for people with kidney failure (KF) on maintenance dialysis.
Claudia Dahlerus, Noelle E. Carlozzi, Richard A. Hirth, Katrina Price, Jennifer Sardone, Jennifer A. Miner, Jonathan H. Segal, Joel Andress, Jesse Roach, Elena Balovlenkov, Stephanie Clark, Joseph M. Messana   +11 more
doaj   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein, Haoqi Sun, Sophie Lehnerer, Lea Gerischer, Maximilian Mönch, Christian Meisel, Andreas Meisel, Pushpa Narayanaswami   +7 more
wiley   +1 more source

Effect of green trade barriers on export enterprise green technological innovation from the perspective of the low-carbon city pilot policy

Frontiers in Environmental Science
The low-carbon city pilot policy (LCCPP) is an important part of achieving “dual carbon” goals and promoting green technology innovation (GTI) in Chinese export enterprises.
Pei Xu, Zehu Jin, Xianghua Wu
doaj   +1 more source

Asset and cost management for innovation activity

, 2017
The paper provides results of a comparative analysis of the level of innovation activity in European countries based on official statistics. A cluster analysis of R&D expenditure share in GDP allowed the authors to identify five groups of countries with ...
S. Labunska, M. Petrova, O. Prokopishyna
semanticscholar   +1 more source

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

Annals 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, Qi Wang, Suhui Kuang, Dezhi Cao, Ping Ding, Shaohui Zhang, Haihua Wei, Zhirong Wei, Jinshan Xu, Xinyu Huang, Bing Liu, Shuli Liang   +11 more
wiley   +1 more source