Publications by authors named "Tetreault J"

Autism spectrum disorder (ASD) is characterized by impairments in social affective engagement. The present study uses a mild social stressor task to add to inconclusive past literature concerning differences in affective expressivity between autistic young adults and non-autistic individuals from the general population (GP). Young adults (mean age = 21.

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Article Synopsis
  • A study evaluated an AI model's ability to detect prostate cancer in scans done at different institutions, focusing on biparametric MRI (bpMRI) scans from both an external and an in-house setup.
  • This research included 201 male patients and showed that the AI detected a greater percentage of lesions on in-house scans compared to external ones (56.0% vs. 39.7% for intraprostatic lesions and 79% vs. 61% for clinically significant prostate cancer).
  • Factors that improved the AI's detection rates included higher PI-RADS scores, larger lesion sizes, and better quality of diffusion-weighted MRI images.
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Background Multiparametric MRI (mpMRI) improves prostate cancer (PCa) detection compared with systematic biopsy, but its interpretation is prone to interreader variation, which results in performance inconsistency. Artificial intelligence (AI) models can assist in mpMRI interpretation, but large training data sets and extensive model testing are required. Purpose To evaluate a biparametric MRI AI algorithm for intraprostatic lesion detection and segmentation and to compare its performance with radiologist readings and biopsy results.

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Rationale And Objectives: Extraprostatic extension (EPE) is well established as a significant predictor of prostate cancer aggression and recurrence. Accurate EPE assessment prior to radical prostatectomy can impact surgical approach. We aimed to utilize a deep learning-based AI workflow for automated EPE grading from prostate T2W MRI, ADC map, and High B DWI.

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Article Synopsis
  • This study assesses the effectiveness of three AI algorithms for segmenting prostate regions in MRI scans of patients with complex medical backgrounds and varied anatomical features.
  • The researchers analyzed data from 683 MRI scans, ensuring that they included criteria such as previous treatments and different scanner qualities, and compared the AI’s segmentation against expert radiologist assessments.
  • Results showed that deep learning models significantly outperformed other methods, especially in cases with smaller prostate volumes and better image quality, highlighting the challenges presented by variances in anatomy and scan conditions.
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Rationale And Objectives: Efficiently detecting and characterizing metastatic bone lesions on staging CT is crucial for prostate cancer (PCa) care. However, it demands significant expert time and additional imaging such as PET/CT. We aimed to develop an ensemble of two automated deep learning AI models for 1) bone lesion detection and segmentation and 2) benign vs.

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As part of the non-clinical safety package characterizing bamlanivimab (SARS-CoV-2 neutralizing monoclonal antibody), the risk profile for antibody-dependent enhancement of infection (ADE) was evaluated in vitro and in an African green monkey (AGM) model of COVID-19. In vitro ADE assays in primary human macrophage, Raji, or THP-1 cells were used to evaluate enhancement of viral infection. Bamlanivimab binding to C1q, FcR, and cell-based effector activity was also assessed.

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Federated learning (FL) is a method used for training artificial intelligence models with data from multiple sources while maintaining data anonymity, thus removing many barriers to data sharing. Here we used data from 20 institutes across the globe to train a FL model, called EXAM (electronic medical record (EMR) chest X-ray AI model), that predicts the future oxygen requirements of symptomatic patients with COVID-19 using inputs of vital signs, laboratory data and chest X-rays. EXAM achieved an average area under the curve (AUC) >0.

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Objective: To demonstrate enabling multi-institutional training without centralizing or sharing the underlying physical data via federated learning (FL).

Materials And Methods: Deep learning models were trained at each participating institution using local clinical data, and an additional model was trained using FL across all of the institutions.

Results: We found that the FL model exhibited superior performance and generalizability to the models trained at single institutions, with an overall performance level that was significantly better than that of any of the institutional models alone when evaluated on held-out test sets from each institution and an outside challenge dataset.

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'Federated Learning' (FL) is a method to train Artificial Intelligence (AI) models with data from multiple sources while maintaining anonymity of the data thus removing many barriers to data sharing. During the SARS-COV-2 pandemic, 20 institutes collaborated on a healthcare FL study to predict future oxygen requirements of infected patients using inputs of vital signs, laboratory data, and chest x-rays, constituting the "EXAM" (EMR CXR AI Model) model. EXAM achieved an average Area Under the Curve (AUC) of over 0.

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In addition to bend propagation for swimming, cells use their flagella to glide along a surface. When polystyrene microspheres are added to cells, they attach to and move along the flagellar surface, thus serving as a proxy for gliding that can be used to assay for the flagellar components required for gliding motility. Gliding and microsphere movement are dependent on intraflagellar transport (IFT).

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Complex cellulosic samples are often difficult to analyse with size-exclusion chromatography. The strong molecular associations of hemicelluloses and lignin with cellulose produce multimodal molar mass distributions (MMD) that are difficult to interpret. More reliable ways of calculating the molar masses of cellulose are thus necessary.

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Rifted margins mark a transition from continents to oceans and contain in their architecture a record of their rift history. Recent investigations of rift architecture have suggested that multiphase deformation of the crust and mantle lithosphere leads to the formation of distinct margin domains. The processes that control transitions between these domains, however, are not fully understood.

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Interleukin (IL)-17A exists as a homodimer (A/A) or as a heterodimer (A/F) with IL-17F. IL-17A is expressed by a subset of T-cells, called Th17 cells, at inflammatory sites. Most cell types can respond to the local production of IL-17A because of the near ubiquitous expression of IL-17A receptors, IL-17RA and IL-17RC.

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Purpose: MET, the receptor for hepatocyte growth factor (HGF), has been implicated in driving tumor proliferation and metastasis. High MET expression is correlated with poor prognosis in multiple cancers. Activation of MET can be induced either by HGF-independent mechanisms such as gene amplification, specific genetic mutations, and transcriptional upregulation or by HGF-dependent autocrine or paracrine mechanisms.

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The need for rapid diagnosis of Clostridium difficile (C. difficile) associated infection in a clinical microbiology laboratory has provided the stimulus for new diagnostic tests and testing protocols. A two-test algorithm has been proposed using assays such as Quik Chek Complete, which detects both C.

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Respiratory syncytial virus (RSV) and human metapneumovirus (hMPV) are two important viral pathogens that cause respiratory tract infections in the pediatric population. The rapid detection of these agents allows the prompt isolation and treatment of infected patients. In the present prospective study, we evaluated the performances of four rapid antigen detection assays, including a rapid chromatographic immunoassay (CIA) for RSV (Directigen EZ RSV; Becton Dickinson, Sparks, MD), a direct fluorescent-antibody assay (DFA) for RSV (Bartels; Trinity Biotech, Carlsbad, CA), and two DFAs for hMPV manufactured by Diagnostic Hybrids Inc.

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Pay for performance, the provision of financial incentives for favorable performance, is increasingly under study as an evidence-based practice. This study estimated the improvement in client retention from offering incentives to 11 substance abuse counselors providing outpatient aftercare treatment. During the incentive period, a counselor could earn a bonus of $100, in addition to his regular compensation, for each client who completed at least five aftercare sessions (the "milestone" which we considered the minimum adequate dose of the aftercare curriculum).

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Purpose: Dendritic cells (DCs) are potent antigen-presenting cells that are uniquely capable of inducing tumor-specific immune responses. We have conducted a Phase I trial in which patients with metastatic breast and renal cancer were treated with a vaccine prepared by fusing autologous tumor and DCs.

Experimental Design: Accessible tumor tissue was disrupted into single cell suspensions.

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The prevalence of extended-spectrum beta-lactamase (ESBL)-producing Escherichia coli (ESC) and Klebsiella (KS) among consecutive non-urine isolates were evaluated. Twenty-four of 392 isolates produced ESBLs. Among these half were from respiratory sites and all were susceptible to meropenem.

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In a search for novel growth factors, we discovered that human interleukin-20 (IL-20) enhanced colony formation by CD34+ multipotential progenitors. IL-20 had no effect on erythroid, granulocyte-macrophage, or megakaryocyte progenitors. IL-20 transgenic mice increased the numbers and cell cycling of multipotential but not other progenitors.

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This phase I-II study describes the safety of rituximab, ifosfamide, mitoxantrone and etoposide (R-IME) as an induction regimen prior to high-dose chemotherapy and autologous stem cell transplantation (HDC-ASCT), and rituximab given post-HDC-ASCT for B cell non-Hodgkins's lymphoma. This study also measured the effect on disease burden and stem cell contamination. Patients with relapsed, refractory or poor risk B cell lymphomas were eligible.

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Substance abuse providers surveyed after Year 6 of the Massachusetts Behavioral Health Plan reported better treatment outcomes and access than in previous years. The Massachusetts Behavioral Health Partnership's clinical practices helped to improve quality of care. Its review process was highly rated.

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Fibronectin is an extracellular-matrix glycoprotein encoded by a single gene, but with significant protein heterogeneity introduced through alternative RNA splicing and post-translational modifications. The (V+C)(-) splice variant, in which nucleotides encoding protein segments III-15 and I-10 are deleted along with the entire variable region, is unique in that expression is restricted to cartilaginous tissues. All known fibronectin splice variants retain the two C-terminal cysteine residues essential for dimerization, but cellular and/or structural constraints appear to influence homo- and heterodimerization patterns.

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Actin interacting protein 1 (Aip1) is a conserved component of the actin cytoskeleton first identified in a two-hybrid screen against yeast actin. Here, we report that Aip1p also interacts with the ubiquitous actin depolymerizing factor cofilin. A two-hybrid-based approach using cofilin and actin mutants identified residues necessary for the interaction of actin, cofilin, and Aip1p in an apparent ternary complex.

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