A Novel Model for Predicting Microsatellite Instability in Endometrial Cancer: Integrating Deep Learning-Pathomics and MRI-Based Radiomics.

Rationale And Objectives: To develop and validate a novel model based on multiparametric MRI (mpMRI) and whole slide images (WSIs) for predicting microsatellite instability (MSI) status in endometrial cancer (EC) patients.

Materials And Methods: A total of 136 surgically confirmed EC patients were included in this retrospective study. Patients were randomly divided into a training set (96 patients) and a validation set (40 patients) in a 7:3 ratio.

Fast, cost-effective and flexible DNA sequencing by roll-to-roll fluidics.

Next-generation sequencing (NGS) technologies have achieved remarkable success in both biological research and clinical applications. However, in recent years, performance improvements have slowed due to fundamental limitations imposed by Poiseuille fluid dynamics in flow cells, which we overcome using Couette flow. Here we show NGS by roll-to-roll fluidics (r2r-fl), a cost-effective approach compatible with flexible biochip sizes.

Efficacy and preliminary safety assessment of EXG001-307 AAV gene therapy for spinal muscular atrophy.

Spinal muscular atrophy (SMA) is an autosomal recessive neurodegenerative disorder characterized by progressive muscular weakness due to the loss of lower motor neurons. The most severe and common form, SMA type 1 (Werdnig-Hoffmann disease), is a devastating childhood condition. Exegenesis Bio is developing EXG001-307, a recombinant adeno-associated virus (rAAV) gene therapy, for SMA type 1 patients lacking functional and possessing only 1-2 copies of .

Right Ventricular Strain as a Key Feature in Interpretable Machine Learning for Identification of Takotsubo Syndrome: A Multicenter CMR-based Study.

Rationale And Objectives: To develop an interpretable machine learning (ML) model based on cardiac magnetic resonance (CMR) multimodal parameters and clinical data to discriminate Takotsubo syndrome (TTS), acute myocardial infarction (AMI), and acute myocarditis (AM), and to further assess the diagnostic value of right ventricular (RV) strain in TTS.

Materials And Methods: This study analyzed CMR and clinical data of 130 patients from three centers. Key features were selected using least absolute shrinkage and selection operator regression and random forest.

Machine Learning Model for Predicting Biliary Complications After Liver Transplantation.

Introduction: The risk factors of biliary complications (BCs) after liver transplantation are not comprehensively determined. BCs also vary in times of onset. Machine learning (ML) can reveal regularities based on large-scale data to make predictions and have demonstrated good performance in liver transplantation.

Dendritic Cell Vaccine Harboring Inactivated Mycobacteria Induces Immune Protection Against Tuberculosis in Murine Models and is Well Tolerated in Humans.

The limited success of tuberculosis (TB) control measures reflects the inadequacy of Bacille Calmette-Guérin (BCG), the only licensed TB vaccine. There is a recent resurgence of interest in intravenous administration of BCG. However, direct injection of live BCG bacteria into the bloodstream of human beings is not likely to be practical due to safety concerns.

Artificial Intelligence as a Surrogate for Inspection Time to Assess Completeness in Esophagogastroduodenoscopy: A Prospective, Randomized, Noninferiority Study.

Introduction: The completeness of esophagogastroduodenoscopy (EGD) is a prerequisite for detecting lesions. This study aims to explore whether the quality of complete examinations assisted by artificial intelligence (AI) would be comparable with those conducted within the guideline-recommended inspection time.

Methods: Patients referred for diagnostic, screening, or surveillance EGD were enrolled at Renmin Hospital of Wuhan University.

16S rRNA and metabolomics reveal the key microbes and key metabolites that regulate diarrhea in Holstein male calves.

Introduction: Diarrhea is a prevalent disease among calves, which significantly hinders their growth and development, thereby impacting farm productivity and revenue. This study aimed to investigate the impact of diarrhea on calf growth.

Methods: Holstein male calves with similar birth weight (39.

Deep Learning to Simulate Contrast-Enhanced MRI for Evaluating Suspected Prostate Cancer.

Background Multiparametric MRI, including contrast-enhanced sequences, is recommended for evaluating suspected prostate cancer, but concerns have been raised regarding potential contrast agent accumulation and toxicity. Purpose To evaluate the feasibility of generating simulated contrast-enhanced MRI from noncontrast MRI sequences using deep learning and to explore their potential value for assessing clinically significant prostate cancer using Prostate Imaging Reporting and Data System (PI-RADS) version 2.1.

Safety and Efficacy of Remote Ischemic Conditioning in Patients With Intravenous Thrombolysis: The SERIC-IVT Trial.

Background: Approximately half of the patients with acute ischemic stroke who receive intravenous thrombolysis (IVT) do not achieve an excellent outcome. Remote ischemic conditioning (RIC) as a promising neuroprotective treatment may improve clinical outcomes in this population. This study aimed to assess the efficacy and safety of RIC in patients with IVT.

Proposal of one new family, seven new genera and seventy new basidiomycetous yeast species mostly isolated from Tibet and Yunnan provinces, China.

More than 2 000 yeast strains isolated from 1 200 samples mostly collected from Tibet and Yunnan provinces in China were identified as 462 species according to the internal transcribed spacer including the 5.8S rDNA (ITS) and the D1/D2 domains of the large subunit rDNA (LSU) sequence analyses. Among them, 70 new basidiomycetous yeast species were proposed based on the multi-locus phylogenetic analyses including the D1/D2 domains, the ITS, the small subunit rDNA (SSU), the largest subunit of RNA polymerase II (), the second largest subunit of RNA polymerase II () and translation elongation factor 1-α (), as well as the phenotypic comparisons.

Middle Meningeal Artery Embolization for Nonacute Subdural Hematoma.

Background: The effect of embolization of the middle meningeal artery in patients with subacute or chronic subdural hematoma is uncertain.

Methods: We performed a multicenter, open-label, randomized trial in China, involving patients with symptomatic nonacute subdural hematoma with mass effect. Patients were assigned to undergo burr-hole drainage or receive nonsurgical treatment at the surgeon's discretion, and patients in each group were then randomly assigned, in a 1:1 ratio, to undergo middle meningeal artery embolization with liquid embolic material or to receive usual care.

DNA-PK Inhibition Shows Differential Radiosensitization in Orthotopic GBM PDX Models Based on DDR Pathway Deficits.

Glioblastoma (GBM) remains one of the most therapy-resistant malignancies with frequent local failures despite aggressive surgery, chemotherapy, and ionizing radiation (IR). Small molecule inhibitors of DNA-dependent protein kinase (DNA-PKi) are potent radiosensitizers currently in clinical trials. Determining which patients may benefit from radiosensitization with DNA-PKi is critical to avoid unnecessary increased risk of normal tissue toxicity.

Biodegradable oxygen-evolving metalloantibiotics for spatiotemporal sono-metalloimmunotherapy against orthopaedic biofilm infections.

Pathogen-host competition for manganese and intricate immunostimulatory pathways severely attenuates the efficacy of antibacterial immunotherapy against biofilm infections associated with orthopaedic implants. Herein, we introduce a spatiotemporal sono-metalloimmunotherapy (SMIT) strategy aimed at efficient biofilm ablation by custom design of ingenious biomimetic metal-organic framework (PCN-224)-coated MnO-hydrangea nanoparticles (MnPM) as a metalloantibiotic. Upon reaching the acidic HO-enriched biofilm microenvironment, MnPM can convert abundant HO into oxygen, which is conducive to significantly enhancing the efficacy of ultrasound (US)-triggered sonodynamic therapy (SDT), thereby exposing bacteria-associated antigens (BAAs).

Phylogenomic analysis of the clade and related taxa in the and proposal of thirteen new genera, fifty-five new combinations and nine new species.

is a polyphyletic genus of asexually reproducing yeasts in the with more than 400 species that occur in almost all families of the subclass and its name is strongly connected with the infectious disease candidiasis. During the last two decades, approximately half of the species have been reassigned into more than 36 already existing genera and 14 newly proposed genera, but the polyphyletic feature of the genus largely remained. is an important, globally emerging opportunistic pathogen that has caused life-threatening outbreaks in healthcare facilities worldwide.

: delineation of fungal genera based on phylogenomic analyses, genomic relatedness indices and genomics-based synapomorphies.

A correct classification of fungi, including yeasts, is of prime importance to understand fungal biodiversity and to communicate about this diversity. Fungal genera are mainly defined based on phenotypic characteristics and the results of single or multigene-based phylogenetic analyses. However, because yeasts often have less phenotypic characters, their classification experienced a strong move towards DNA-based data, from short ribosomal sequences to multigene phylogenies and more recently to phylogenomics.

Learning Representations from Heart Sound: A Comparative Study on Shallow and Deep Models.

Leveraging the power of artificial intelligence to facilitate an automatic analysis and monitoring of heart sounds has increasingly attracted tremendous efforts in the past decade. Nevertheless, lacking on standard open-access database made it difficult to maintain a sustainable and comparable research before the first release of the PhysioNet CinC Challenge Dataset. However, inconsistent standards on data collection, annotation, and partition are still restraining a fair and efficient comparison between different works.

Symmetric Kondo Lattice States in Doped Strained Twisted Bilayer Graphene.

We use the topological heavy fermion (THF) model and its Kondo lattice (KL) formulation to study the possibility of a symmetric Kondo (SK) state in twisted bilayer graphene. Via a large-N approximation, we find a SK state in the KL model at fillings ν=0,±1,±2 where a KL model can be constructed. In the SK state, all symmetries are preserved and the local moments are Kondo screened by the conduction electrons.

Critical Role of the cGAS-STING Pathway in Doxorubicin-Induced Cardiotoxicity.

Background: Doxorubicin is an effective chemotherapy drug for treating various types of cancer. However, lethal cardiotoxicity severely limits its clinical use. Recent evidence has indicated that aberrant activation of the cytosolic DNA-sensing cyclic guanosine monophosphate-adenosine monophosphate synthase (cGAS)-STING (stimulator of interferon genes) pathway plays a critical role in cardiovascular destruction.

Elevated Placental microRNA-155 Is a Biomarker of a Preeclamptic Subtype.

Background: Preeclampsia is a complicated syndrome with marked heterogeneity. The biomarker-based classification for this syndrome is more constructive to the targeted prevention and treatment of preeclampsia. It has been reported that preeclamptic patients had elevated microRNA-155 (miR-155) in placentas or circulation.

Preclinical Study of Immunotherapy Combined with Radiotherapy for Solid Tumors.

Immune checkpoint blockade therapy (ICB) is ineffective against cold tumors and, although it is effective against some hot tumors, drug resistance can occur. We have developed a immunotherapy (PI) that can overcome these shortcomings. However, the specific killing effect of PI on tumor cells is relatively weak.

PFKFB3 mediates tubular cell death in cisplatin nephrotoxicity by activating CDK4.

Nephrotoxicity is a major side effect of cisplatin, a widely used cancer therapy drug. However, the mechanism of cisplatin nephrotoxicity remains unclear and no effective kidney protective strategies are available. Here, we report the induction of 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 3 (PFKFB3) in both in vitro cell culture and in vivo mouse models of cisplatin nephrotoxicity.