Improving Recall Accuracy in Sparse Associative Memories That Use Neurogenesis.

The creation of future low-power neuromorphic solutions requires specialist spiking neural network (SNN) algorithms that are optimized for neuromorphic settings. One such algorithmic challenge is the ability to recall learned patterns from their noisy variants. Solutions to this problem may be required to memorize vast numbers of patterns based on limited training data and subsequently recall the patterns in the presence of noise.

A phase II trial of larotrectinib in tumors with NTRK fusions or extremes of NTRK mRNA overexpression identified by comprehensive genomic profiling.

Background: TRK-inhibitors have demonstrated efficacy across several cancers with NTRK fusions. Their activity in cancers with NTRK overexpression remains unclear.

Methods: This trial enrolled patients with advanced cancers harboring NTRK fusions or extreme mRNA overexpression, defined as NTRK1/2/3 expression by RNA profiling >5 SDs for a given cancer type.

Heightened cholesterol 25-hydroxylase expression in aged lung during .

Introduction: Alveolar macrophages (AM) are critical effectors of the immune response and are essential for host responses to . Changes in lipid metabolism in AM can alter cellular function and biology. Impaired metabolism can contribute to excessive lipid accumulation and pro-inflammatory signaling.

A FRET assay to quantitate levels of the human β-cardiac myosin interacting heads motif based on its near-atomic resolution structure.

In cardiac muscle, many myosin molecules are in a resting or "OFF" state with their catalytic heads in a folded structure known as the interacting heads motif (IHM). Many mutations in the human β-cardiac myosin gene that cause hypertrophic cardiomyopathy (HCM) are thought to destabilize (decrease the population of) the IHM state. The effects of pathogenic mutations on the IHM structural state are often studied using indirect assays, including a single-ATP turnover assay that detects the super-relaxed (SRX) biochemical state of myosin functionally.

Detection of Periodontal Bone Loss and Periodontitis from 2D Dental Radiographs via Machine Learning and Deep Learning: Systematic Review Employing APPRAISE-AI and Meta-analysis.

Objectives: Periodontitis is a serious periodontal infection that damages the soft tissues and bone around teeth and is linked to systemic conditions. Accurate diagnosis and staging, complemented by radiographic evaluation, are vital. This systematic review (PROSPERO ID: CRD42023480552) explores Artificial Intelligence (AI) applications in assessing alveolar bone loss and periodontitis on dental panoramic and periapical radiographs.

Increased frequency of germline pathogenic variants among individuals with dermatofibrosarcoma protuberans.

Purpose: To identify candidate susceptibility genes for dermatofibrosarcoma protuberans (DFSP).

Methods: All individuals with DFSP from the International Sarcoma Kindred Study ( = 3767 individuals with sarcoma diagnoses from Australia, Europe, New Zealand, and United States) and cohorts that were not ascertained based on sarcoma status or other phenotypes (Geisinger MyCode,  = 170,503 individuals, United States; UK Biobank,  = 469,789 individuals, United Kingdom) were evaluated for germline pathogenic or likely pathogenic (P/LP) variants in 156 cancer genes.

Results: There were 92 unrelated individuals with DFSP across the 3 cohorts.

SERCA Modulators Reveal Distinct Signaling and Functional Roles of T Lymphocyte Ca Stores.

The allosteric SERCA (Sarcoplasmic/Endoplasmic Reticulum Ca-ATPase) activator CDN1163 has been recently added to the group of pharmacological tools for probing SERCA function. We chose to investigate the effects of the compound on T lymphocyte Ca stores, using the well-described Jurkat T lymphocyte as a reliable cell system for Ca signaling pathways. Our study identified the lowest concentrations of the SERCA inhibitors thapsigargin (TG) and 2,5-di-( butyl)-1,4-benzohydroquinone (tBHQ) capable of releasing Ca, permitting the differentiation of the TG-sensitive SERCA 2b Ca store from the tBHQ-sensitive SERCA 3 Ca store.

A precision randomized trial to evaluate the impact of tailored hepatitis C treatment adherence support on HCV treatment outcomes among people who inject drugs in India: Design and Baseline Characteristics of the STOP-C Trial.

Efforts to eliminate hepatitis C virus (HCV) as a public health problem must include people who inject drugs (PWID). We describe the design and baseline characteristics of the Supporting Treatment Outcomes among PWID (STOP-C) trial which evaluates whether HCV treatment outcomes in PWID can be optimized by tailoring treatment support in 7 PWID-focused integrated HIV/HCV prevention/treatment centers. The design is a 3-arm, individual-level precision-randomized trial.

Associations of life-course cardiovascular risk factors with late-life cerebral haemodynamics.

While the associations of mid-life cardiovascular risk factors with late-life white matter lesions (WMH) and cognitive decline have been established, the role of cerebral haemodynamics is unclear. We investigated the relation of late-life (69-71 years) arterial spin labelling (ASL) MRI-derived cerebral blood flow (CBF) with life-course cardiovascular risk factors (36-71 years) and late-life white matter hyperintensity (WMH) load in 282 cognitively healthy participants (52.8% female).

Greater preservation of SARS-CoV-2 neutralising antibody responses following the ChAdOx1-S (AZD1222) vaccine compared with mRNA vaccines in haematopoietic cell transplant recipients.

Whilst SARS-CoV-2 mRNA vaccines generate high neutralising antibodies (nAb) in most individuals, haematopoietic stem cell transplant (HSCT) and chimeric antigen receptor T-cell (CAR-T) recipients respond poorly. HSCT/CAR-T treatment ablates existing immune memory, with recipients requiring revaccination analogous to being vaccine naive. An optimal revaccination strategy for this cohort has not been defined.

Preferences and Feasibility of Long-Acting Technologies for the Treatment of Hepatitis C Virus: A Survey of Patients in Diverse Low- and Middle-Income Countries.

Despite available curative treatments, global rates of hepatitis C virus (HCV) infection persist with significant burden in low- and middle-income countries (LMICs). Long-acting (LA) antiviral products are in development. This study explored the challenges and opportunities in LA-HCV treatment across three LMICs: Egypt, Ethiopia and India.

Connecting the changing trace elements spectrum and survival in sarcoma: a pilot study.

Objectives: While some metals have been reported as carcinogens or potential carcinogens, only few modern-standard datasets including a large number of elements are available. The present analysis established a first trace elements spectrum by relating the concentration of metals and trace elements in the serum of sarcoma patients with survival data.

Methods: Patients with sarcoma and controls were retrospectively selected from the International Sarcoma Kindred Study database (ISKS).

Effect of iron-manganese oxide on the degradation of deoxynivalenol in feed and enhancement of growth performance and intestinal health in weaned piglets.

Deoxynivalenol (DON), a prevalent and highly toxic mycotoxin in animal feed, poses significant risks to livestock health and productivity. This study evaluates the effectiveness of iron-manganese oxide (Fe/Mn oxides) in degrading DON. The DON degradation rate of Fe/Mn oxide reached 98.

Arterial spin labeling perfusion MRI in the Alzheimer's Disease Neuroimaging Initiative: Past, present, and future.

On the 20th anniversary of the Alzheimer's Disease Neuroimaging Initiative (ADNI), this paper provides a comprehensive overview of the role of arterial spin labeling (ASL) magnetic resonance imaging (MRI) in understanding perfusion changes in the aging brain and the relationship with Alzheimer's disease (AD) pathophysiology and its comorbid conditions. We summarize previously used acquisition protocols, available data, and the motivation for adopting a multi-post-labeling delay (PLD) acquisition scheme in the latest ADNI MRI protocol (ADNI 4). We also detail the process of setting up this scheme on different scanners, emphasizing the potential of ASL imaging in future AD research.

Oncogenic mutations in the TP53 and PI-3 kinase/AKT pathway are independent predictors of survival for advanced thyroid cancer: Analysis from the Molecular Screening and Therapeutics (MoST) program.

Background: Thyroid cancers with mutations in the phosphatidylinositol-3 kinase/AKT pathway have a poorer prognosis. However, knowledge about the relationship between histology, mutation profile, and outcomes is still developing. This study assessed the prognostic value of genomic profiles for patients with advanced thyroid cancer who experienced progression on conventional treatment.

1-year health outcomes associated with systemic corticosteroids for COVID-19: a longitudinal cohort study.

Background: In patients with coronavirus disease 2019 (COVID-19) requiring supplemental oxygen, dexamethasone reduces acute severity and improves survival, but longer-term effects are unknown. We hypothesised that systemic corticosteroid administration during acute COVID-19 would be associated with improved health-related quality of life (HRQoL) 1 year after discharge.

Methods: Adults admitted to hospital between February 2020 and March 2021 for COVID-19 and meeting current guideline recommendations for dexamethasone treatment were included using two prospective UK cohort studies (Post-hospitalisation COVID-19 and the International Severe Acute Respiratory and emerging Infection Consortium).

The Use of Triaxial Accelerometers and Machine Learning Algorithms for Behavioural Identification in Domestic Dogs (): A Validation Study.

Assessing the behaviour and physical attributes of domesticated dogs is critical for predicting the suitability of animals for companionship or specific roles such as hunting, military or service. Common methods of behavioural assessment can be time consuming, labour-intensive, and subject to bias, making large-scale and rapid implementation challenging. Objective, practical and time effective behaviour measures may be facilitated by remote and automated devices such as accelerometers.