Rescue therapy after failed thrombectomy in medium/distal vessel occlusions: A retrospective analysis of an international, multi-center registry.

Background: There are limited therapeutic options in cases of failed reperfusion (modified thrombolysis in cerebral infarction [mTICI] score < 2b) after stent-retriever and/or aspiration based endovascular treatment (EVT) for acute ischemic stroke. Despite the absence of data supporting its use, rescue therapy (balloon angioplasty and/or stent implantation) is often utilized in such cases. Studies are limited to large vessel occlusions, while the outcomes and complications after rescue therapy in medium/distal vessel occlusions (MDVOs) have not been reported.

Flow-diverting stents for the treatment of unruptured distal anterior cerebral artery aneurysms: analysis of the CRETA Registry.

Background: Data about the safety and the efficacy of flow diversion for distal anterior cerebral artery (DACA) aneurysms are limited. We present the largest multicenter analysis evaluating the outcomes of flow diversion in unruptured DACA aneurysm treatment.

Methods: Databases from 39 centers were retrospectively reviewed for unruptured DACA aneurysms treated with flow-diverting stents.

MOSAIC: An Artificial Intelligence-Based Framework for Multimodal Analysis, Classification, and Personalized Prognostic Assessment in Rare Cancers.

Purpose: Rare cancers constitute over 20% of human neoplasms, often affecting patients with unmet medical needs. The development of effective classification and prognostication systems is crucial to improve the decision-making process and drive innovative treatment strategies. We have created and implemented MOSAIC, an artificial intelligence (AI)-based framework designed for multimodal analysis, classification, and personalized prognostic assessment in rare cancers.

MUSE-XAE: MUtational Signature Extraction with eXplainable AutoEncoder enhances tumour types classification.

Motivation: Mutational signatures are a critical component in deciphering the genetic alterations that underlie cancer development and have become a valuable resource to understand the genomic changes during tumorigenesis. Therefore, it is essential to employ precise and accurate methods for their extraction to ensure that the underlying patterns are reliably identified and can be effectively utilized in new strategies for diagnosis, prognosis, and treatment of cancer patients.

Results: We present MUSE-XAE, a novel method for mutational signature extraction from cancer genomes using an explainable autoencoder.

Baseline clinical and neuroradiological predictors of outcome in patients with large ischemic core undergoing mechanical thrombectomy: A retrospective multicenter study.

Background: Recent randomized trials have shown the benefit of mechanical thrombectomy (MT) also in patients with an established large ischemic core.

Aims: The purpose of this study was to define baseline predictors of clinical outcome in patients with large vessel occlusion (LVO) in the anterior circulation and an Alberta Stroke Program Early CT score (ASPECTS) ⩽ 5, undergoing MT.

Material And Methods: The databases of 16 comprehensive stroke centers were retrospectively screened for patients with LVO and ASPECTS ⩽5 that received MT.

SYNDSURV: A simple framework for survival analysis with data distributed across multiple institutions.

Data sharing among different institutions represents one of the major challenges in developing distributed machine learning approaches, especially when data is sensitive, such as in medical applications. Federated learning is a possible solution, but requires fast communications and flawless security. Here, we propose SYNDSURV (SYNthetic Distributed SURVival), an alternative approach that simplifies the current state-of-the-art paradigm by allowing different centres to generate local simulated instances from real data and then gather them into a centralised hub, where an Artificial Intelligence (AI) model can learn in a standard way.

Impact of statin adherence and interruption within 6 months after ST-segment elevation myocardial infarction (STEMI): Results from the real-world regional registry FAST-STEMI.

Background: The impact of statin therapy on cardiovascular outcomes after ST-elevation acute myocardial infarction (STEMI) in real- world patients is understudied.

Aims: To identify predictors of low adherence and discontinuation to statin therapy within 6 months after STEMI and to estimate their impact on cardiovascular outcomes at one year follow-up.

Methods: We evaluated real-world adherence to statin therapy by comparing the number of bought tablets to the expected ones at 1 year follow-up through pharmacy registries.

Influence of Model Structures on Predictors of Protein Stability Changes from Single-Point Mutations.

Missense variation in genomes can affect protein structure stability and, in turn, the cell physiology behavior. Predicting the impact of those variations is relevant, and the best-performing computational tools exploit the protein structure information. However, most of the current protein sequence variants are unresolved, and comparative or ab initio tools can provide a structure.

Predictors of parenchymal hematoma and clinical outcome after mechanical thrombectomy in patients with large ischemic core due to large vessel occlusion: a retrospective multicenter study.

Background: The aim of our study was to find predictors of parenchymal hematoma (PH) and clinical outcome after mechanical thrombectomy (MT) in patients with large vessel occlusion (LVO) and baseline large infarct.

Methods: The databases of 16 stroke centers were retrospectively screened for patients with anterior circulation LVO and baseline Alberta Stroke Program Early CT Score (ASPECTS) ≤5 that received MT. Procedural parameters, including the number of passes during first and second technique of MT, were recorded.

Safety and efficacy of endovascular thrombectomy for primary and secondary MeVO.

Background: Medium-vessel occlusions (MeVO) are emerging as a new target for endovascular treatment (EVT). Primary MeVO occur de novo, while secondary MeVO arise from large vessel occlusion (LVO) through clot migration or fragmentation - spontaneously, following intravenous thrombolysis or EVT. We aimed to evaluate efficacy and safety of EVT in primary and EVT-induced secondary MeVO.

Differential impacts of ionizing radiation on a sexually dimorphic trait in male and female .

Purpose: In many Orthopteran species, including crickets, forewings exhibit substantial sexual dimorphism driven by sexual selection. In the cricket, females are the 'choosy' sex and males exhibit multiple sexual signals to attract and successfully mate. Male forewings have highly specialized structures critical for acoustic signaling and mating.

A novel machine learning-based web application for field identification of infectious and inflammatory disorders of the central nervous system in cattle.

Background: Central nervous system (CNS) infections in cattle are a major cause of economic loss and mortality. Machine learning (ML) techniques are gaining widespread application in solving predictive tasks in both human and veterinary medicine.

Objectives: Our primary aim was to develop and compare ML models that could predict the likelihood of a CNS disorder of infectious or inflammatory origin in neurologically-impaired cattle.

Investigation of presence and impact of radiation-induced bystander effect in .

Purpose: Radiation-induced bystander effect (RIBE), a non-targeted effect of ionizing radiation in which non-irradiated individuals behave as if they have been irradiated after interactions with irradiated individuals, has been well documented in vertebrates. However, little research has been done investigating RIBE in terrestrial insects, this paucity of invertebrate RIBE leads to lack of knowledge on invertebrates living in fallout and exclusion zones. This paper aims to better understand the impacts of RIBE on terrestrial insects.

Unravelling the instability of mutational signatures extraction archetypal analysis.

The high cosine similarity between some single-base substitution mutational signatures and their characteristic flat profiles could suggest the presence of overfitting and mathematical artefacts. The newest version (v3.3) of the signature database available in the Catalogue Of Somatic Mutations In (COSMIC) provides a collection of 79 mutational signatures, which has more than doubled with respect to previous version (30 profiles available in COSMIC signatures v2), making more critical the associations between signatures and specific mutagenic processes.

Mechanical thrombectomy in minor stroke due to isolated M2 occlusion: a multicenter retrospective matched analysis.

Background: The purpose of this study was to evaluate the effectiveness of mechanical thrombectomy (MT) in patients with isolated M2 occlusion and minor symptoms and identify possible baseline predictors of clinical outcome.

Methods: The databases of 16 high-volume stroke centers were retrospectively screened for consecutive patients with isolated M2 occlusion and a baseline National Institutes of Health Stroke Scale (NIHSS) score ≤5 who received either early MT (eMT) or best medical management (BMM) with the possibility of rescue MT (rMT) on early neurological worsening. Because our patients were not randomized, we used propensity score matching (PSM) to estimate the treatment effect of eMT compared with the BMM/rMT.

Deep learning methods to predict amyotrophic lateral sclerosis disease progression.

Amyotrophic lateral sclerosis (ALS) is a highly complex and heterogeneous neurodegenerative disease that affects motor neurons. Since life expectancy is relatively low, it is essential to promptly understand the course of the disease to better target the patient's treatment. Predictive models for disease progression are thus of great interest.

Mechanical thrombectomy in patients with stroke due to large vessel occlusion in the anterior circulation and low baseline NIHSS score.

We sought to verify the benefit of mechanical thrombectomy in patients with acute ischemic stroke due to large vessel occlusion in the anterior circulation and low National Institute of Health stroke scale score at presentation. The prospective database of our stroke center was screened for patients with acute ischemic stroke due to large vessel occlusion and a baseline National Institute of Health stroke scale score ≤5 that had undergone mechanical thrombectomy. Outcome measures were the modified Rankin Scale (mRS) score at 90 days, brain bleeding events and death at 90 days.

Age-related expression of prominent regulatory elements in mouse brain: catastrophic decline of FOXO3a.

Aging is associated with changes in regulation, particularly among diverse regulators in the brain. We assayed prominent regulatory elements in mouse brain to explore their relationship to one another, stress, and aging. Notably, unphosphorylated (activated) forkhead transcription factor 3a (uFOXO3a) expressed exponential decline congruent with increasing age-related mortality.

Impacts of ionization radiation on the cuticular hydrocarbon profile and mating success of male house crickets ().

Purpose: Ionizing radiation is well known to have drastic impacts on major life history features including survivorship, growth, fertility, and longevity. What is much less appreciated is how radiation stress can cause changes to more subtle traits, such as those associated with sexual signaling, an underappreciated but vital aspect of insect reproduction. In the House Cricket ( cuticular hydrocarbons are vital for sex and species recognition, as well as a possible indicator of stress, making them crucial for successful mating and reproduction.

Radiation induces stress and transgenerational impacts in the cricket, .

Purpose: Radiation exposure of crickets during their fourth juvenile molt inflicted ionizing radiation damage and altered growth rate, adult size at sexual maturity. High levels of ionizing radiation also impacted the subsequent generation, likely via heritable epigenetic mechanisms. Using radiation as a proxy for external stress, we aim to understand the transgenerational impacts of stress on non-irradiated offspring.