Impacts of medical and non-medical cannabis on the health of older adults: Findings from a scoping review of the literature. by Dianna Wolfe, Kim Corace, Claire Butler, Danielle Rice, Becky Skidmore, Yashila Patel, Premika Thayaparan, Alan Michaud, Candyce Hamel, Andra Smith, Gary Garber, Amy Porath, David Conn, Melanie Willows, Hanan Abramovici, Kednapa Thavorn, Salmaan Kanji, Brian Hutton

“…., end-stage cancer, dementia), with a number of studies suggesting possible benefits while others found no benefit. …”
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Navigating next-gen nutrition care using artificial intelligence-assisted dietary assessment tools—a scoping review of potential applications by Anuja Phalle, Devaki Gokhale

“…Dietary assessment tools integrated with AI and ML could estimate real-time energy and macronutrient intake in patients with chronic conditions such as obesity, diabetes, and dementia. Additionally, these tools are non-laborious, time-efficient, user-friendly, and provide fairly accurate data free from recall/reporting bias enabling clinicians to offer personalized nutrition.ConclusionTherefore, integrating AI-based dietary assessment tools will help improve the quality of nutrition care and navigate next-gen nutrition care practices. …”
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Advancing Alzheimer’s disease risk prediction: development and validation of a machine learning-based preclinical screening model in a cross-sectional study by Yanfei Chen, Bing Wang, Yankai Shi, Wenhao Qi, Shihua Cao, Bingsheng Wang, Ruihan Xie, Jiani Yao, Xiajing Lou, Chaoqun Dong, Xiaohong Zhu, Danni He

“…Objectives Alzheimer’s disease (AD) poses a significant challenge for individuals aged 65 and older, being the most prevalent form of dementia. Although existing AD risk prediction tools demonstrate high accuracy, their complexity and limited accessibility restrict practical application. …”
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Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification by Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, Igor Fortel, Liang Zhan, Alex Leow, Giuseppe Baselli

“…As the leading cause of dementia worldwide, Alzheimer’s Disease (AD) has prompted significant interest in developing Deep Learning (DL) approaches for its classification. …”
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Relationship between Urinary Alzheimer-Associated Neuronal Thread Protein and Apolipoprotein Epsilon 4 Allele in the Cognitively Normal Population by Yuxia Li, Meimei Kang, Can Sheng, Guanqun Chen, Taoran Li, Jun Wang, Yanning Cai, Rong Wang, Ying Han

“…Urinary AD7c-NTP levels were not related to years of education, nature of work, family history of dementia, a history of hypertension, stroke, anemia, or thyroid dysfunction. …”
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Evolution of Alzheimer’s Disease Therapeutics: From Conventional Drugs to Medicinal Plants, Immunotherapy, Microbiotherapy and Nanotherapy by Emma Ortiz-Islas, Pedro Montes, Citlali Ekaterina Rodríguez-Pérez, Elizabeth Ruiz-Sánchez, Talía Sánchez-Barbosa, Diego Pichardo-Rojas, Cecilia Zavala-Tecuapetla, Karla Carvajal-Aguilera, Victoria Campos-Peña

“…Alzheimer’s disease (AD) represents an escalating global health crisis, constituting the leading cause of dementia among the elderly and profoundly impairing their quality of life. …”
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Integrated analysis of chromatin and transcriptomic profiling of the striatum after cerebral hypoperfusion in mice by Shijia Le, Fengyiyang Xu, Zhi Luo, Weihao Shi, Shuangshuang Lu, Zengyu Zhang, Zimin Guo, Wenshi Xu, Mingqi Yang, Tianyi Li, Xu Li, Kun Liang, Lei Zhu

“…Abstract Background Vascular cognitive impairment (VCI) is a significant contributor to dementia, yet the precise mechanisms underlying the cognitive decline associated with chronic cerebral hypoperfusion (CCH) remain unclear. …”
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Chitinase-3-like-1: a multifaceted player in neuroinflammation and degenerative pathologies with therapeutic implications by Pharaoh Fellow Mwale, Cheng-Ta Hsieh, Ting-Lin Yen, Jing-Shiun Jan, Rajeev Taliyan, Chih-Hao Yang, Wen-Bin Yang

“…Elevated CHI3L1 levels have been observed in neurological conditions such as traumatic brain injury (TBI), Alzheimer’s disease (AD), Parkinson’s disease (PD), Amyotrophic lateral sclerosis (ALS), Creutzfeldt-Jakob disease (CJD), multiple sclerosis (MS), Neuromyelitis optica (NMO), HIV-associated dementia (HAD), Cerebral ischemic stroke (CIS), and brain tumors. …”
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Disrupted Regional Spontaneous Neural Activity in Mild Cognitive Impairment Patients with Depressive Symptoms: A Resting-State fMRI Study by Xiaozheng Liu, Yunhai Tu, Yirou Zang, Aiqin Wu, Zhongwei Guo, Jiawei He

“…Depressive symptoms are common in individuals with mild cognitive impairment (MCI) who have an increased risk of dementia. It is currently unclear whether the pattern of spontaneous brain activity in patients with MCI differs between subjects with and without depressive symptoms. …”
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Exploring the purpose and stages of patient and public involvement and engagement (PPIE) in audiology research: a case study approach by Helen Pryce, Nisha Dhanda, Jean Straus

“…The second study conducted an ethnographic analysis of adults with dementia and hearing loss in care homes, employing environmental audits, ethnographic observations, and semi-structured interviews. …”
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810-nm Photobiomodulation Evokes Glutamate Release in Normal and Rotenone-Dysfunctional Cortical Nerve Terminals by Modulating Mitochondrial Energy Metabolism by Silvia Ravera, Elisa Farsetti, Guido Maura, Manuela Marcoli, Matteo Bozzo, Chiara Cervetto, Andrea Amaroli

“…The beneficial effects of PBM-t on dementia and neurodegeneration have been reviewed in the literature. …”
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Central Pain in Parkinson’s Disease: Behavioral and Cognitive Characteristics by N. Vila-Chã, S. Cavaco, A. Mendes, A. Gonçalves, I. Moreira, J. Fernandes, J. Damásio, L. F. Azevedo, J. M. Castro-Lopes

“…The Ford classification of pain was applied. The Dementia Rating Scale-2 (DRS-2) and the Impulse Control Disorders in Parkinson’s Disease Short Form (QUIP-S) were administered, and patients’ smoking habits were recorded. …”
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Interplay between oxidative stress, neuroinflammatory cytokines and melatonin in Alzheimer's disease: Insights from cerebrospinal fluid analysis by Francisco Artime-Naveda, David Hevia, Rebeca Alonso-Arias, Carmen Martínez, Isabel Quirós-González, Rafael Cernuda-Cernuda, Alejando Alvarez-Artime, Iván Menéndez-Valle, Rosa M. Sainz, Juan C. Mayo

“…Abstract: Background: Among neurodegenerative disorders Alzheimer's disease (AD) displays the highest prevalence and the projected increase in its incidence will require new advances in early diagnosis and treatment, particularly for distinguishing AD from other dementias. While beta-amyloid (Aβ) and tau biomarkers are currently used to discriminate AD from other tauopathies and dementias, additional indicators could enhance patient stratification for specific dementia types. …”
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Rotation errors in path integration are associated with Alzheimer’s disease tau pathology: a cross-sectional study by Lise Colmant, Lisa Quenon, Lara Huyghe, Adrian Ivanoiu, Thomas Gérard, Renaud Lhommel, Pauline Coppens, Yasmine Salman, Vincent Malotaux, Laurence Dricot, Lukas Kunz, Nikolai Axmacher, Philippe Lefèvre, Bernard Hanseeuw

“…We related the path integration performance of 102 individuals without dementia, aged over 50, to amyloid and tau pathologies, measured using positron emission tomography. …”
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RIPK1 expression and inhibition in tauopathies: implications for neuroinflammation and neuroprotection by Ignacio Silva-Llanes, Ignacio Silva-Llanes, Ignacio Silva-Llanes, Enrique Madruga, Enrique Madruga, Ana Martínez, Ana Martínez, Isabel Lastres-Becker, Isabel Lastres-Becker, Isabel Lastres-Becker, Isabel Lastres-Becker

“…We examined mouse models of frontotemporal dementia (FTD), as well as brain tissue samples from patients with progressive supranuclear palsy (PSP), a primary form of 4R tauopathy, and Alzheimer’s disease (AD), which is considered a secondary tauopathy. …”
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Large-Scale Neuronal Network Dysfunction in Diabetic Retinopathy by Xin Huang, Yan Tong, Chen-Xing Qi, Han-Dong Dan, Qin-Qin Deng, Yin Shen

“…Diabetic retinopathy (DR) patients are at an increased risk of cognitive decline and dementia. There is accumulating evidence that specific functional and structural architecture changes in the brain are related to cognitive impairment in DR patients. …”
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Clinical code usage in UK general practice: a cohort study exploring 18 conditions over 14 years by Christos Grigoroglou, Darren M Ashcroft, Evangelos Kontopantelis, David Reeves, Salwa S Zghebi, Rosa Parisi, Brian McMillan

“…Objective To assess the diagnostic Read code usage for 18 conditions by examining their frequency and diversity in UK primary care between 2000 and 2013.Design Population-based cohort studySetting 684 UK general practices contributing data to the Clinical Practice Research Datalink (CPRD) GOLD.Participants Patients with clinical codes for at least one of asthma, chronic obstructive pulmonary disease, diabetes, hypertension (HT), coronary heart disease, atrial fibrillation (AF), heart failure, stroke, hypothyroidism, chronic kidney disease, learning disability (LD), depression, dementia, epilepsy, severe mental illness (SMI), osteoarthritis, osteoporosis and cancer.Primary and secondary outcome measures For the frequency ranking of clinical codes, canonical correlation analysis was applied to correlations of clinical code usage of 1, 3 and 5 years. …”
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Klasifikasi Alzheimer Berdasarkan Data Citra MRI Otak Menggunakan Fcm Dan Anfis by Nilna Almumtazah, Muhammad Sahrul Kiromi, Nurissaidah Ulinnuha

“…About 50 million people worldwide have Alzheimer's disease or another kind of dementia. Given many Alzheimer's patients, it is essential to identify it using brain MRI imaging. …”
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Blood biomarkers for vascular cognitive impairment based on neuronal function: a systematic review and meta-analysis by Weiquan Huang, Libin Liao, Qian Liu, Rongchao Ma, Xuan He, Xuan He, Xiaoqiong Du, Dujuan Sha, Dujuan Sha, Dujuan Sha, Dujuan Sha

“…Vascular cognitive impairment (VCI) is increasingly recognized as the second most prevalent cause of dementia, primarily attributed to vascular risk factors and cerebrovascular disease. …”
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Research on Material Design of Medical Products for Elderly Families Based on Artificial Intelligence by Jinjin Rong, Xu Ji, Xin Fang, Moon-Hwan Jee

“…One model is Tombot, a little dog like model, which was made to diminish misery and tension among dementia patients. Its head developments, looks, and swaying tail feel basically the same as the real thing, causing occupants to feel as though they have their very own pet to really focus on. …”
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