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Dynamics of Patient-Based Benefit-Risk Assessment of Medicines in Chronic Diseases: A Systematic Review.

BackgroundA critical gap exits in understanding the dynamics of patient-based benefit-risk assessment (BRA) of medicines in chronic diseases during the disease journey.PurposeTo systematically review and synthesize current evidence on the changes of patients' preferences about the benefits and risks of medicines during their disease journey including the influence of disease duration and severity, and previous treatment experience.MethodsA systematic review of studies identified in PubMed and Embase, from inception to November 2020, was conducted in accordance with the PRISMA (Preferred Report

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… States Questionnaire Recruitment from a clinic, via letters, and via advertisements online and in a specialized patient newsletter 290 Multiple sclerosis Patients who had never taken a disease-modifying therapy reported less willingness to take one Casciano et al 2011 75 Algeria, Egypt, Iran, Lebanon, Morocco … Questionnaire Recruitment from a clinic, via letters, and via advertisements online and in a specialized patient newsletter | 290 | Multiple sclerosis | Patients who had never taken a disease-modifying therapy reported less willingness to take one Casciano et al 2011 75 | Algeria, Egypt, Iran, Lebanon, Morocco …

Disruption of the microenvironmental ecosystem in subchondral bone marrow lesions: Roles in osteoarthritis pathophysiology, pain and progression.

This narrative review explores the role of subchondral bone in the pathophysiology of osteoarthritis (OA), emphasizing the biomechanical and biochemical contributions that it makes to disease progression. A fresh perspective is presented by the authors in the form of a novel hypothesis that implicates mechano-inflammatory disruption of the bone marrow (BM) microenvironmental ecosystem (BM niche), unresolved inflammation, and fibrosis as key drivers of OA pathogenesis and pain. BMLs, detectable via magnetic resonance imaging (MRI), serve as dynamic imaging biomarkers that correlate with pain se

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… This narrative review article will summarize the content of two invited presentations at the International Workshop on Osteoarthritis Imaging (IWOAI) organized by the International Society of Osteoarthritis Imaging (ISOAI) 2 in Lausanne, Switzerland in June 2023 and in Marrakesh, Morocco in June 2024 …

[Retracted] miR‑23a suppresses pancreatic cancer cell progression by inhibiting PLK‑1 expression.

BACKGROUND: One presentation of Avoidant/Restrictive Food Intake Disorder (ARFID) is characterized by picky eating, i.e., selective eating based on the sensory properties of food. The present study has two aims. The first is to describe distress and impairment in individuals with ARFID secondary to picky eating. The second is to determine whether eating behaviors hypothesized to be specific to picky eating can differentiate picky eaters with and without ARFID from typical eaters (e.g., individuals not reporting picky or disordered eating) and individuals who strongly endorse attitudes associat

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… Cancer is a major problem in the Arab world 4 , 25 – 31 which is delimited by Lebanon and Syria to the north, Morocco to the west, south to Yemen, and Iraq in the east, accounting for >300 million people. …

Стабильность и адаптируемость урожайности зерновых в генотипах квиноа four где находится Иран.

Генотип х взаимодействие с окружающей средой one - эффективные факторы выявления и внедрения сортовых культур со стабильной урожайностью зерна в различных средах. Существует множество статистических методов оценки взаимодействия генотипа х в окружающей среде, среди которых анализы AMMI и ГПЭ-билот дают лучшие и более интерпретируемые результаты. Цель этого исследования заключалась в оценке взаимодействия генотипа х с окружающей средой, а также адаптируемости и стабильности окружающей среды. 40 Генотипы квиноа. Эксперимент проводился в произвольно выбранной полной конструкции блока с three тира

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… Thiam et al. (2021) used the AMMI method to evaluate the stability of 14 quinoa genotypes in five different environments in Morocco, and classified the genotypes into three groups, stable, relatively stable and unstable. …

Cancer status in the Occupied Palestinian Territories: types; incidence; mortality; sex, age, and geography distribution; and possible causes.

Cancer is a disease in which some cells of the body grow uncontrollably and occasionally spread to other parts of the body. With a group of more than 100 different types, cancer can start almost anywhere in the body. Defective cells may form a mass called a tumor which can be cancerous (malignant), which grows and spreads to other parts of the body, or benign that can grow but not spread throughout the body. In 2021, more than 10 million people died of cancer worldwide (1 out of 6 deaths). This paper has thoroughly investigated the cancer status in the Occupied Palestinian Territories (OPT), i

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… Egypt, Nigeria, South Africa, Ethiopia, and Morocco had the highest cancer incidence and death rates in 2020. These mentioned-African countries (that include two Arab countries: Egypt and Morocco) are also responsible for 45% of cancer cases and 44% of cancer deaths. …

Resistance to Antiangiogenic Therapy in Hepatocellular Carcinoma: From Molecular Mechanisms to Clinical Impact.

Antiangiogenic drugs were the only mainstay of advanced hepatocellular carcinoma (HCC) treatment from 2007 to 2017. However, primary or secondary resistance hampered their efficacy. Primary resistance could be due to different molecular and/or genetic characteristics of HCC and their knowledge would clarify the optimal treatment approach in each patient. Several molecular mechanisms responsible for secondary resistance have been discovered over the last few years; they represent potential targets for new specific drugs. In this light, the advent of checkpoint inhibitors (ICIs) has been a new o

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… El Bairi (Mohamed Ist University, Faculty of Medicine and Pharmacy; Oujda, Morocco) for the editorial assistance. Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. …

An explainable predictive machine learning model of osteopenia for perimenopausal women based on clinical data: a retrospective single-center study.

BACKGROUND: Osteoporosis is increasingly prevalent, yet early detection remains difficult. This study aimed to develop a machine learning (ML)-based model for identifying individuals at risk of osteopenia using clinical data. METHODS: Female participants who were aged 45 years and above with complete femoral neck BMD data were included. A total of 1,108 participants were divided into training (70%) and test (30%) datasets. Various ML-based algorithms (random forest (RF), least absolute shrinkage and selection operator (LASSO), gradient boosting decision tree (GBDT) were used to identify key p

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… Edited by: Abdellah El Maghraoui , Mohammed V University, Morocco Reviewed by: Jan Josef Stepan , Charles University, Czechia Yubo Shao , Shanghai University of Traditional Chinese Medicine, China Data availability statement The raw data supporting the conclusions of this article will be made available …

A multicountry ecological study of cancer incidence rates in 2008 with respect to various risk-modifying factors.

Observational and ecological studies are generally used to determine the presence of effect of cancer risk-modifying factors. Researchers generally agree that environmental factors such as smoking, alcohol consumption, poor diet, lack of physical activity, and low serum 25-hdyroxyvitamin D levels are important cancer risk factors. This ecological study used age-adjusted incidence rates for 21 cancers for 157 countries (87 with high-quality data) in 2008 with respect to dietary supply and other factors, including per capita gross domestic product, life expectancy, lung cancer incidence rate (an

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… African Republic, Chad, Chile, China, Comoros, Djibouti, Ethiopia, French Polynesia, Gabon, Gambia, Ghana, Guadeloupe, Guinea, Guinea-Bissau, Honduras, India, Indonesia, Iraq, Ivory Coast, Jordan, Kenya, Laos, Lebanon, Lesotho, Libya, Madagascar, Maldives, Mali, Malta, Martinique, Mauritania, Moldova, Morocco …

Проверка генотипов чечевиц на предмет выявления болезни стволового ствола и молекулярная идентификация причинно-следственного организма.

Во время сезона сбора урожая 2019-20, 2020-21, и 2021-22С помощью Alpha-Lattice Design с помощью Alpha-Lattice Genoтипы чечевиц были скринингированы на Stemphilium blight. three Репликации в Исследовательском центре Пульса, БАРИ, Ишурди, Pabna-6620 в естественных и искусственных эпифитотических условиях. В случае искусственного инокулума искусственные инокулумы были разбрызганы на 1.3 × 105 Споры/мл концентрации споров для прививки споров на экспериментальных участках. Данные о серьезности заболевания были зарегистрированы следующим образом: 1-9 Кроме того, была произведена оценка шкалы рейтин

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… The authors would like to acknowledge the support of OCP Foundation, ICARDA, Morocco. Author contributions Author Md. Aktar-Uz-Zaman: conducted research, wrote the main manuscript draft and prepared the all figures. Authors Dr. Md. …

The Battlefield of Chemotherapy in Pediatric Cancers.

The survival rate for pediatric cancers has remarkably improved in recent years. Conventional chemotherapy plays a crucial role in treating pediatric cancers, especially in low- and middle-income countries where access to advanced treatments may be limited. The Food and Drug Administration (FDA) approved chemotherapy drugs that can be used in children have expanded, but patients still face numerous side effects from the treatment. In addition, multidrug resistance (MDR) continues to pose a major challenge in improving the survival rates for a significant number of patients. This review focuses

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… Tackling cancer burden in low-income and middle-income countries: Morocco as an exemplar. Lancet Oncol. 2018;19:e93–e101. doi: 10.1016/S1470-2045(17)30727-1. 9. Patel A., Goldstein D.A., Tannock I.F. Improving access to immunotherapy in low- and middle-income countries. Ann. …

Antioxidant and Antiproliferation Activities of Lemon Verbena (Aloysia citrodora): An In Vitro and In Vivo Study.

Aloysia citrodora (Verbenaceae) is traditionally used to treat various diseases, including bronchitis, insomnia, anxiety, digestive, and heart problems. In this study, this plant's antioxidant and anti-proliferation effects were evaluated. In addition to volatiles extraction, different solvent extracts were prepared. The GC-MS, LC-MS analysis and the Foline-Ciocalteu (F-C) method were used to investigate the phytochemical components of the plant. MTT assay was used to measure the antiproliferative ability for each extract. Antioxidant activity was determined using the 2,2-diphenylpicrylhydrazy

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… Chemical composition and cytotoxic and antibacterial activities of the essential oil of Aloysia citriodora palau grown in Morocco Adv. Pharmacol. Sci. 2017 2017 7801924 10.1155/2017/7801924 28694822 PMC5485486 113. Zhang F. Dong W. Zeng W. Zhang L. Zhang C. Qiu Y. Wang L. Yin X. Zhang C. Liang W. …

Burden of Disease, Treatment Patterns, and Healthcare Resource Utilization in Multiple Myeloma in the Middle East and North Africa Region: A Targeted Literature Review.

Globally, the multiple myeloma (MM) landscape varies widely, with incidence, treatment patterns, outcomes, and healthcare resource utilization (HCRU) differing across countries and regions. Many factors contribute to these differences, including ethnicity, awareness, and socioeconomic influences. This is the first analysis aiming to explore factors associated with myeloma incidence and patient characteristics in the Middle East and North Africa (MENA) region. A literature search was conducted using PubMed and Embase from 1 January 2015 to 30 May 2025. Articles reporting outcomes of interest in

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… MENA region. a Age-standardized incidence rate reported by geography and sex, where reported [ 7 , 19 – 23 ]; b age distribution of MM cases in Saudi Arabia reported in 2022 [ 24 ]. a MENA encompasses the countries of Afghanistan, Algeria, Bahrain, Egypt, Iran, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco … MENA region. a Age-standardized incidence rate reported by geography and sex, where reported [ 7 , 19 – 23 ]; b age distribution of MM cases in Saudi Arabia reported in 2022 [ 24 ]. a MENA encompasses the countries of Afghanistan, Algeria, Bahrain, Egypt, Iran, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco …

Head and Neck Tumor Segmentation Using Pre-RT MRI Scans and Cascaded DualUNet.

Accurate segmentation of the primary gross tumor volumes and metastatic lymph nodes in head and neck cancer is crucial for radiotherapy but remains challenging due to high interobserver variability, highlighting a need for an effective auto-segmentation tool. Tumor delineation is used throughout radiotherapy for treatment planning, initially for pre-radiotherapy (pre-RT) MRI scans followed-up by mid-radiotherapy (mid-RT) during the treatment. For the pre-RT task, we propose a dual-stage 3D UNet approach using cascaded neural networks for progressive accuracy refinement. The first-stage models

Enhancing nnUNetv2 Training with Autoencoder Architecture for Improved Medical Image Segmentation.

Auto-segmentation of gross tumor volumes (GTVs) in head and neck cancer (HNC) using MRI-guided radiotherapy (RT) images presents a significant challenge that can greatly enhance clinical workflows in radiation oncology. In this study, we developed a novel deep learning model based on the nnUNetv2 framework, augmented with an autoencoder architecture. Our model introduces the original training images as an additional input channel and incorporates an MSE loss function to improve segmentation accuracy. The model was trained on a dataset of 150 HNC patients, with a private evaluation of 50 test p

Ensemble of LinkNet Networks for Head and Neck Tumor Segmentation.

The segmentation of head and neck cancer (HNC) tumors is a critical step in radiotherapy treatment planning. The development of automatic segmentation algorithms has the potential to streamline the radiation oncology process. In this work, we develop an ensemble of LinkNet networks for HNC tumor segmentation as part of the HNTS-MRG 2024 Grand Challenge. A single LinkNet network, pretrained on the Imagenet dataset, was trained for 200 epochs on the HNC dataset provided by the challenge. Eight good performing weights from the internal validation set were selected to create an ensemble of 2D netw

Obesity: pathophysiology and therapeutic interventions.

Over the past few decades, obesity has transitioned from a localized health concern to a pressing global public health crisis affecting over 650 million adults globally, as documented by WHO epidemiological surveys. As a chronic metabolic disorder characterized by pathological adipose tissue expansion, chronic inflammation, and neuroendocrine dysregulation that disrupts systemic homeostasis and impairs physiological functions, obesity is rarely an isolated condition; rather, it is frequently complicated by severe comorbidities that collectively elevate mortality risks. Despite advances in nutr

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… A cross-sectional study aimed to evaluate the VD levels among 1,210 obese individuals in Southern Morocco, their results (adequate: 5.3%, insufficiency: 18%, moderate-deficiency: 52.5%, severe-deficiency: 24.2%) support the hypothesis that obesity is associated with low VD levels [ 213 ]. …

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Nanogel-Based Precision Bone Regeneration: Rational Design, Biological Barrier Penetration, and Osteoporotic Microenvironment Remodeling.

The pathogenesis of osteoporosis is primarily associated with impaired communication between osteoblasts and osteoclasts, leading to disrupted bone homeostasis. Conventional biomaterials mainly rely on macroscopic structural support and are limited in their ability to precisely regulate the complex bone microenvironment and overcome biological barriers. As representative soft matter nanoplatforms, nanogels possess unique viscoelastic mechanical properties and adaptive biointerfacial properties, offering new opportunities to overcome physical barriers within bone tissues. Moving beyond previous

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… Evaluation of the support vector regression (SVR) and the random forest (RF) models accuracy for streamflow prediction under a data-scarce basin in Morocco. Discov Appl Sci . 2024;6(6):306. doi: 10.1007/s42452-024-05994-z 107. …

Nature-Inspired Strategies in Cancer Management: The Potential of Plant Extracts in Modulating Tumour Biology.

Cancer is a serious group of diseases that is a huge problem on a global scale and is the second most common cause of death. Commonly used therapies do not always lead to the complete elimination of diseased cells or tissues and are also burdened with side effects that reduce the quality of life of patients. Due to these difficulties, new therapeutic approaches are still being sought. In recent years, there has been a return to interest in natural methods of treating various diseases, among which phytochemicals are particularly interesting. This article reviews plant extracts with anticancer p

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… Rahma) Leaves from Morocco: A Comprehensive Analysis of Polyphenols Profile, Antimicrobial Activity, Cytotoxicity against Breast Cancer Cell Lines, and Genotoxicity. Pharmaceuticals. 2023;16:840. doi: 10.3390/ph16060840. 64. Macuer-Guzmán J., Bernal G., Jamett-Díaz F., Ramírez-Rivera S., Ibáñez C. …

Ensemble Deep Learning Models for Automated Segmentation of Tumor and Lymph Node Volumes in Head and Neck Cancer Using Pre- and Mid-Treatment MRI: Application of Auto3DSeg and SegResNet.

Automated segmentation of gross tumor volumes (GTVp) and lymph nodes (GTVn) in head and neck cancer using MRI presents a critical challenge with significant potential to enhance radiation oncology workflows. In this study, we developed a deep learning pipeline based on the SegResNet architecture, integrated into the Auto3DSeg framework, to achieve fully-automated segmentation on pre-treatment (pre-RT) and mid-treatment (mid-RT) MRI scans as part of the DLaBella29 team submission to the HNTS-MRG 2024 challenge. For Task 1, we used an ensemble of six SegResNet models with predictions fused via w