Defunctioning Ileostomy After Low Anterior Resection of Rectum: Morbidity Related to Fashioning and Closure.

: The aim of this study was to assess any predisposing factors to the morbidity of fashioning and reversal of diverting ileostomy in a prospective cohort of patients who have undergone TME and low colo-rectal or colo-anal anastomosis for rectal cancer. Consecutive patients with rectal cancer undergoing low anterior resection and a defunctioning loop ileostomy in three surgical units from 2016 to 2020 were included in the study and retrospectively analyzed. : One hundred eighty-two patients from three centres were included.

Adult-Onset Foveomacular Vitelliform Dystrophy With Unilateral Presentation: A Case Series.

Adult-onset foveomacular vitelliform dystrophy (AOFVD) is a rare condition affecting the macula that presents diagnostic and management challenges due to its varied manifestations and clinical overlap with other retinal disorders. As vitelliform lesions can occur in various conditions, such as Best disease and age-related macular degeneration, clinical presentation, multimodal imaging findings, and genetic testing can aid in accurate diagnosis. Although AOFVD typically affects both eyes, unilateral involvement can occur.

Efficacy of rTMS Combined with Cognitive and Language Training in People Living with Alzheimer's Disease: A Systematic Review.

Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive brain stimulation method that has been suggested as a possible treatment method for cognitive impairment in patients with Alzheimer's Disease (pwAD), similar to multidomain cognitive training (CT). The effectiveness, however, of combining these techniques for pwAD remains controversial due to the variability in rTMS parameters, differences in CT protocol designs-many of which neglect the language domain-and the inclusion of patients at various stages of Alzheimer's Disease (AD) and with different types of dementia. The current review aims to evaluate the cognitive benefits of combining rTMS with CT, including language training, for individuals with mild to moderate AD.

Feasibility and Clinical Effectiveness of Computer-Based Cognitive Rehabilitation in Illiterate and Low-Educated Individuals with Mild Cognitive Impairment: Preliminary Data.

Objective: We investigated the feasibility of the RehaCom cognitive rehabilitation software in illiterate and low-educated individuals with mild cognitive impairment (MCI) and its clinical effectiveness in improving cognitive functions.

Methods: Twenty illiterate or low-educated individuals with MCI were randomly assigned to an intervention (IG; n = 10) and control group (CG; n = 10). The IG participated in the cognitive enhancement program for 6 weeks, twice a week and a duration of 50-60 min for each session, while the CG did not receive any kind of intervention.

Cancer cell sedimentation in 3D cultures reveals active migration regulated by self-generated gradients and adhesion sites.

Cell sedimentation in 3D hydrogel cultures refers to the vertical migration of cells towards the bottom of the space. Understanding this poorly examined phenomenon may allow us to design better protocols to prevent it, as well as provide insights into the mechanobiology of cancer development. We conducted a multiscale experimental and mathematical examination of 3D cancer growth in triple negative breast cancer cells.

Language and Communication Interventions in People with Alzheimer's Disease: A Systematic Review.

Although language impairment is frequently observed in patients with Alzheimer's disease (pwAD), targeted language rehabilitation is often overlooked. The present study reviews published evidence on the impact of language training, either alone or in combination with cognitive training, on cognitive outcomes in pwAD. A systematic search of PubMed, Google Scholar, and Cochrane was carried out, including studies published from inception to November 2023.

Magnifying Networks for Histopathological Images with Billions of Pixels.

Amongst the other benefits conferred by the shift from traditional to digital pathology is the potential to use machine learning for diagnosis, prognosis, and personalization. A major challenge in the realization of this potential emerges from the extremely large size of digitized images, which are often in excess of 100,000 × 100,000 pixels. In this paper, we tackle this challenge head-on by diverging from the existing approaches in the literature-which rely on the splitting of the original images into small patches-and introducing magnifying networks (MagNets).

Adaptation and validation of the Greek version of the Communication and Language Assessment questionnaire for persons with Multiple Sclerosis (CLAMS).

Objective: The aim of the present study was to validate the Communication and Language Assessment questionnaire for persons with Multiple Sclerosis (CLAMS) into the Greek language.

Method: 106 Persons with Multiple Sclerosis (PwMS) and 51 healthy controls (HCs) participated in this study. We evaluated patients' cognitive abilities with the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS).

A calibration and uncertainty quantification analysis of classical, fractional and multiscale logistic models of tumour growth.

Background And Objective: The validation of mathematical models of tumour growth is frequently hampered by the lack of sufficient experimental data, resulting in qualitative rather than quantitative studies. Recent approaches to this problem have attempted to extract information about tumour growth by integrating multiscale experimental measurements, such as longitudinal cell counts and gene expression data. In the present study, we investigated the performance of several mathematical models of tumour growth, including classical logistic, fractional and novel multiscale models, in terms of quantifying in-vitro tumour growth in the presence and absence of therapy.

Adaptation and validation of the Greek version of the Speech Pathology-Specific Questionnaire for Persons with Multiple Sclerosis (SMS).

Purpose: The aim of the present study was to adapt and validate the Speech Pathology-Specific Questionnaire for Persons with Multiple Sclerosis (SMS) into the Greek language.

Method: The study sample consisted of 124 people with multiple sclerosis (PwMS) and 50 healthy controls (HCs). All PwMS underwent cognitive assessment using the Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS).

Bioprinted Multicomponent Hydrogel Co-culture Tumor-Immune Model for Assessing and Simulating Tumor-Infiltrated Lymphocyte Migration and Functional Activation.

The immune response against a tumor is characterized by the interplay among components of the immune system and neoplastic cells. Here, we bioprinted a model with two distinct regions containing gastric cancer patient-derived organoids (PDOs) and tumor-infiltrated lymphocytes (TILs). The initial cellular distribution allows for the longitudinal study of TIL migratory patterns concurrently with multiplexed cytokine analysis.

Visually Evoked Potential as Prognostic Biomarker for Neuroaxonal Damage in Multiple Sclerosis From a Multicenter Longitudinal Cohort.

Background And Objectives: With the increasing use of visually evoked potentials (VEPs) as quantitative outcome parameters for myelin in clinical trials, an in-depth understanding of longitudinal VEP latency changes and their prognostic potential for subsequent neuronal loss will be required. In this longitudinal multicenter study, we evaluated the association and prognostic potential of VEP latency for retinal neurodegeneration, measured by optical coherence tomography (OCT), in relapsing-remitting MS (RRMS).

Methods: We included 293 eyes of 147 patients with RRMS (age [years, median ± SD] 36 ± 10, male sex 35%, F/U [years, median {IQR} 2.

Treatment of Patients with Multiple Sclerosis Transitioning Between Relapsing and Progressive Disease.

Multiple sclerosis (MS) is a chronic autoimmune demyelinating and neurodegenerative disease of the central nervous system with a wide variety of clinical phenotypes. In spite of the phenotypic classification of MS patients, current data provide evidence that diffuse neuroinflammation and neurodegeneration coexist in all MS forms, the latter gaining increasing clinical relevance in progressive phases. Given that the transition phase of relapsing-remitting MS (RRMS) to secondary progressive MS (SPMS) is not well defined, and widely accepted criteria for SPMS are lacking, randomised controlled trials (RCTs) specifically designed for the transition phase have not been conducted.

Quantifying the Morphology and Mechanisms of Cancer Progression in 3D In-Vitro Environments: Integrating Experiments and Multiscale Models.

Mathematical models of cancer growth have become increasingly more accurate both in the space and time domains. However, the limited amount of data typically available has resulted in a larger number of qualitative rather than quantitative studies. In the present study, we provide an integrated experimental-computational framework for the quantification of the morphological characteristics and the mechanistic modelling of cancer progression in 3D environments.

Case report: First case of neuromelioidosis in Europe: CNS infection caused by .

Neuromelioidosis is a rare CNS infection caused by and is characterized by high morbidity and mortality. Our report presents the diagnostic and therapeutic approach of the first case of neuromelioidosis confirmed in Europe. A 47-year-old man with a medical history of recurrent otitis with otorrhea and fever after tympanoplasty and radical cavity revision operation on the left ear was admitted with headache, decreased level of consciousness, dysarthria, left-sided hemiparesis, and urinary incontinence.

Detection and Spatiotemporal Analysis of In-vitro 3D Migratory Triple-Negative Breast Cancer Cells.

The invasion of cancer cells into the surrounding tissues is one of the hallmarks of cancer. However, a precise quantitative understanding of the spatiotemporal patterns of cancer cell migration and invasion still remains elusive. A promising approach to investigate these patterns are 3D cell cultures, which provide more realistic models of cancer growth compared to conventional 2D monolayers.

DARLENE - Improving situational awareness of European law enforcement agents through a combination of augmented reality and artificial intelligence solutions.

Augmented reality (AR) and artificial intelligence (AI) are highly disruptive technologies that have revolutionised practices in a wide range of domains, including the security sector. Several law enforcement agencies (LEAs) employ AI in their daily operations for forensics and surveillance. AR is also gaining traction in security, particularly with the advent of affordable wearable devices.

Revision of Roux-en-Y Gastric Bypass for Inadequate Weight Loss or Weight Regain.

Inadequate weight loss or weight regain after Roux-en-Y gastric bypass (RYGBP) occurs in more than a quarter of patients for various reasons. Available remedying treatment options include endoscopic and surgical techniques for revision of the gastric pouch and the gastro-jejunal anastomosis, conversion of standard to distal gastric bypass (DRYGBP) or the conversion of RYGBP to biliopancreatic diversion (BPD) or duodenal switch (DS). There is quite a variability concerning the technical simplicity, safety, and effectiveness of these techniques and the small number of patients in the numerous single-center reports precludes any meaningful comparisons.

How Good is the Science That Informs Government Policy? A Lesson From the U.K.'s Response to 2020 CoV-2 Outbreak.

In an era when public faith in politicians is dwindling, yet trust in scientists remains relatively high, governments are increasingly emphasizing the role of science based policy-making in response to challenges such as climate change and global pandemics. In this paper we question the quality of some scientific advice given to governments and the robustness and transparency of the entire framework which envelopes such advice, all of which raise serious ethical concerns. In particular we focus on the so-called Imperial Model which heavily influenced the government of the United Kingdom in devising its response to the COVID-19 crisis.

Assessment of Immunological Features in Muscle-Invasive Bladder Cancer Prognosis Using Ensemble Learning.

The clinical staging and prognosis of muscle-invasive bladder cancer (MIBC) routinely includes the assessment of patient tissue samples by a pathologist. Recent studies corroborate the importance of image analysis in identifying and quantifying immunological markers from tissue samples that can provide further insight into patient prognosis. In this paper, we apply multiplex immunofluorescence to MIBC tissue sections to capture whole-slide images and quantify potential prognostic markers related to lymphocytes, macrophages, tumour buds, and PD-L1.

Corrigendum: Deep Learning for Whole Slide Image Analysis: An Overview.

[This corrects the article on p. 264 in vol. 6, PMID: 31824952.

Real-Time Abnormal Event Detection for Enhanced Security in Autonomous Shuttles Mobility Infrastructures.

Autonomous vehicles (AVs) are already operating on the streets of many countries around the globe. Contemporary concerns about AVs do not relate to the implementation of fundamental technologies, as they are already in use, but are rather increasingly centered on the way that such technologies will affect emerging transportation systems, our social environment, and the people living inside it. Many concerns also focus on whether such systems should be fully automated or still be partially controlled by humans.

Gender-affirming hormone treatment and cognitive function in transgender young adults: a systematic review and meta-analysis.

Background: Previous studies have examined whether steroid hormone treatment in transgender individuals may affect cognitive function; yet, their limited power does not allow firm conclusions to be drawn. We leveraged data from to-date literature aiming to explore the effect of gender-affirming hormone administration on cognitive function in transgender individuals.

Methods: A search strategy of MEDLINE was developed (through June 1, 2019) using the key terms transgender, hormone therapy and cognitive function.

Deep Learning for Whole Slide Image Analysis: An Overview.

The widespread adoption of whole slide imaging has increased the demand for effective and efficient gigapixel image analysis. Deep learning is at the forefront of computer vision, showcasing significant improvements over previous methodologies on visual understanding. However, whole slide images have billions of pixels and suffer from high morphological heterogeneity as well as from different types of artifacts.