Cost effectiveness of different treatment strategies with natalizumab for pregnant women with multiple sclerosis.

Background: The management of multiple sclerosis (MS) during pregnancy poses significant challenges. This study aimed to evaluate the cost-effectiveness of three natalizumab treatment strategies during pregnancy from the UK healthcare system's perspective.

Methods: A Markov model was developed to assess the health outcomes and costs associated with three treatment strategies: continuous natalizumab treatment throughout pregnancy, treatment until the first trimester followed by discontinuation, and discontinuation at conception with resumption post-pregnancy.

Next generation brain health: transforming global research and public health to promote prevention of dementia and reduce its risk in young adult populations.

Efforts to prevent dementia can benefit from precision interventions delivered to the right population at the right time; that is, when the potential to reduce risk is the highest. Young adults (aged 18-39 years) are a neglected population in dementia research and policy making despite being highly exposed to several known modifiable risk factors. The risk and protective factors that have the biggest effect on dementia outcomes in young adulthood, and how these associations differ across regions and groups, still remain unclear.

Impact of gender on the willingness to participate in clinical trials and undergo related procedures in individuals from an Alzheimer's prevention research cohort.

Background: Although there is growing evidence of the association between gender and early diagnosis of preclinical Alzheimer's disease, little attention has been given to the enrolment ratio of men and women in clinical trials and data reporting.

Methods: This study aims to analyze gender differences in sociodemographic factors associated with the willingness to participate in clinical trials and undergo specific procedures in the context of an Alzheimer's disease prevention research cohort. 2544 cognitively unimpaired participants from the ALFA parent cohort (age 45-75 years) of the Barcelonaβeta Brain Research Center were contacted through a structured phone call to determine their willingness to participate in Alzheimer's disease clinical trials and undergo trial-related procedures (magnetic resonance imaging, lumbar puncture, positron emission tomography, and cognitive assessment).

Informant characteristics influence Clinical Dementia Rating Sum of Boxes scores-based staging of Alzheimer's disease.

The Clinical Dementia Rating Sum of Boxes (CDR-SB) is a staging scale for Alzheimer's disease (AD) and is commonly used as an outcome in clinical trials. It relies on information provided by the patient and an informant. The CDR-SB should reflect only the patient's disease severity.

Informant characteristics are associated with the Clinical Dementia Rating Sum of Boxes scores in the Alzheimer's Disease patients participating in the National Alzheimer's Coordinating Center Uniform Data Set.

Background: The Clinical Dementia Rating Sum of Boxes (CDR-SB) is used to stage dementia severity; it is one of the most common outcome measurements in Alzheimer's Disease (AD) research and clinical trials. The CDR-SB requires an informant to provide input to stage a patient's dementia severity. The effect of the informant's characteristics on the CDR-SB is unknown.

National plans and awareness campaigns as priorities for achieving global brain health.

Neurological conditions are the leading cause of death and disability combined. This public health crisis has become a global priority with the introduction of WHO's Intersectoral Global Action Plan on Epilepsy and Other Neurological Disorders 2022-2031 (IGAP). 18 months after this plan was adopted, global neurology stakeholders, including representatives of the OneNeurology Partnership (a consortium uniting global neurology organisations), take stock and advocate for urgent acceleration of IGAP implementation.

Sex and gender considerations in Alzheimer's disease: The Women's Brain Project contribution.

The global population is expected to have about 131.5 million people living with Alzheimer's disease (AD) and other dementias by 2050, posing a severe health crisis. Dementia is a progressive neurodegenerative condition that gradually impairs physical and cognitive functions.

Digital biomarkers and sex impacts in Alzheimer's disease management - potential utility for innovative 3P medicine approach.

Unlabelled: Digital biomarkers are defined as objective, quantifiable physiological and behavioral data that are collected and measured by means of digital devices. Their use has revolutionized clinical research by enabling high-frequency, longitudinal, and sensitive measurements. In the field of neurodegenerative diseases, an example of a digital biomarker-based technology is instrumental activities of daily living (iADL) digital medical application, a predictive biomarker of conversion from mild cognitive impairment (MCI) due to Alzheimer's disease (AD) to dementia due to AD in individuals aged 55 + .

Global estimates on the number of persons across the Alzheimer's disease continuum.

Introduction: Global estimates on numbers of persons in early stages of Alzheimer's disease (AD), including prodromal and preclinical, are lacking, yet are needed to inform policy decisions on preventive measures and planning for future therapies targeting AD pathology.

Methods: We synthesized the literature on prevalence across the AD continuum and derived a model estimating the number of persons, stratified by 5-year age groups, sex, and disease stage (AD dementia, prodromal AD, and preclinical AD).

Results: The global number of persons with AD dementia, prodromal AD, and preclinical AD were estimated at 32, 69, and 315 million, respectively.

Investing in Late-Life Brain Capital.

Within many societies and cultures around the world, older adults are too often undervalued and underappreciated. This exacerbates many key challenges that older adults may face. It also undermines the many positive aspects of late life that are of tremendous value at both an individual and societal level.

COVID-19 vaccines: Considering sex differences in efficacy and safety.

The development of SARS-CoV-2 vaccines represents a significant breakthrough for managing the COVID-19 pandemic. However, their approval process has exposed a crucial limitation in clinical trial reports-that is, a disregard for sex differences in response to vaccines. Historically, males and females have shown different reactions to vaccines of many kinds, which have become apparent with the arrival of COVID-19 vaccines in late-2020.

Proportion of Women and Reporting of Outcomes by Sex in Clinical Trials for Alzheimer Disease: A Systematic Review and Meta-analysis.

Importance: Women represent two-thirds of patients with Alzheimer disease (AD), and sex differences might affect results of randomized clinical trials (RCTs). However, little information exists on differences in sex as reported in RCTs for AD.

Objective: To assess the ratio of females to males and the reporting of sex-stratified data in large pharmaceutical RCTs for AD.

Artificial Intelligence-Aided Precision Medicine for COVID-19: Strategic Areas of Research and Development.

Artificial intelligence (AI) technologies can play a key role in preventing, detecting, and monitoring epidemics. In this paper, we provide an overview of the recently published literature on the COVID-19 pandemic in four strategic areas: (1) triage, diagnosis, and risk prediction; (2) drug repurposing and development; (3) pharmacogenomics and vaccines; and (4) mining of the medical literature. We highlight how AI-powered health care can enable public health systems to efficiently handle future outbreaks and improve patient outcomes.

Simulating SARS-CoV-2 epidemics by region-specific variables and modeling contact tracing app containment.

Targeted contact-tracing through mobile phone apps has been proposed as an instrument to help contain the spread of COVID-19 and manage the lifting of nation-wide lock-downs currently in place in USA and Europe. However, there is an ongoing debate on its potential efficacy, especially in light of region-specific demographics. We built an expanded SIR model of COVID-19 epidemics that accounts for region-specific population densities, and we used it to test the impact of a contact-tracing app in a number of scenarios.

Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare.

Precision Medicine implies a deep understanding of inter-individual differences in health and disease that are due to genetic and environmental factors. To acquire such understanding there is a need for the implementation of different types of technologies based on artificial intelligence (AI) that enable the identification of biomedically relevant patterns, facilitating progress towards individually tailored preventative and therapeutic interventions. Despite the significant scientific advances achieved so far, most of the currently used biomedical AI technologies do not account for bias detection.

Regulatory and Health Technology Assessment Considerations for Disease-Modifying Drugs in Alzheimer's Disease.

Although there are a growing number of well-reported, late-stage clinical trial failures in Alzheimer's disease, the introduction of a disease-modifying therapy within the next 5 years may be anticipated. These treatments are likely to target Alzheimer's disease in the earlier disease stages, unlike drugs that are currently available that treat symptoms of moderate-to-severe dementia. Therefore, there is a need to establish a consensus on regulatory and health technology assessment requirements for Alzheimer's disease, as a new drug will need to undergo regulatory and health technology assessments before it becomes available to patients.