Stem Cell Research

Health Care Ramifications of Pervasive Direct-to-Consumer Prescription Drug Advertising.

Direct-to-consumer (DTC) advertisements for prescription drugs are an enduring feature of the US media landscape. These ads are costly (>$8 billion expended by drug manufacturers in 2023), legally protected, and tightly regulated in theory but less so in practice. DTC ads are well-established in magazines and television, with recent encroachment into social media and telehealth. Many ads rely on e...

Neural networks recruited for numerical rule learning and application.

How do brain regions specialized for number processing interact within broader neural systems to support learning to identify and apply numeric rules? Participants performed a number rule learning task in which they viewed sequences of three numbers and across trials identified via trial and error which of 4 possible rules the number sequences followed. Rules were chosen to differ in numeric and e...

Validation of novel low-dose CT methods for quantifying bone marrow in the appendicular skeleton of patients with multiple myeloma: initial results from the [18F]FDG PET/CT sub-study of the Phase 3 GMMG-HD7 Trial.

PURPOSE: The clinical significance of medullary abnormalities in the appendicular skeleton detected by computed tomography (CT) in patients with multi...

Artificial intelligence and peripheral neuropathies: Strategies for the development, application, and repair of regenerative biomaterials.

Traditional repair methods for peripheral neuropathies, such as autologous and allogeneic nerve grafts, face limitations, while peripheral nerve regen...

Structure and function of voltage-gated sodium channel Nav1.6: Involvement in the pathological process of neural injury.

The voltage-gated sodium channel Nav1.6, encoded by the sodium voltage-gated channel alpha subunit 8 gene, is a crucial regulator of neuronal excitabi...

Preferences for Adopting Artificial Intelligence in Radiation Therapy Treatment: A Discrete Choice Experiment.

OBJECTIVES: The integration of artificial intelligence (AI) in radiation therapy offers significant potential to enhance cancer care by improving diag...

Development of an interpretable machine learning model to predict short-term bleeding risk in patients receiving dual antithrombotic therapy following cardiac surgery.

INTRODUCTION: Bleeding is a serious complication in cardiac surgery, especially among patients receiving combined anticoagulant and antiplatelet thera...

Future trends and challenges in occupational therapy: Insights from a Delphi study.

INTRODUCTION: Occupational therapy is evolving rapidly due to technological advances and demographic and sociocultural changes. Recognizing emerging t...

Tissue-Engineered Endothelial Keratoplasty with Controlled Cell Density: Toward Super TEEKs.

Over the past 20 years, endothelial keratoplasty procedures have revolutionized the treatment of corneal endothelial disorders. These conditions have ...

Ethical and Regulatory Perception of Artificial Intelligence Among Dental Students: A Cross-Sectional Study.

INTRODUCTION: Given the rapid pace of digital technology and AI integration, addressing humanitarian concerns and potential ethical dilemmas in future...

Nivolumab plus ipilimumab for potentially resectable hepatocellular carcinoma: Long-term efficacy and biomarker exploration.

BACKGROUND & AIMS: Immune checkpoint inhibitor-based combination therapy has demonstrated high objective response rates in patients with hepatocellula...

Impact of artificial intelligence in vision science: A systematic review of progress, emerging trends, data domain quantification, and critical gaps.

The prominence of artificial intelligence (AI) is growing exponentially, yet its implementation across research domains is uneven. To quantify AI tren...

Interrogating functional connectivity of in vitro neural glia tissue model modulated through integrative control of matrix stiffness and a neurotrophic factor.

Brain function emerges from intricate cellular communication within neural networks. Both In silico neuronal models and primary neuron cells have reve...

Bu Zhong Yi Qi Tang targets key monocyte-associated genes to enhance sepsis therapy.

ETHNOPHARMACOLOGICAL RELEVANCE: Sepsis is a life-threatening condition resulting from an uncontrolled immune response to infection, leading to organ d...

Ethics and Policy Challenges in Applying Artificial Intelligence in Medicine.

Artificial intelligence (AI) holds significant promise as a diagnostic and therapeutic adjunct, and it is being rapidly employed in health care. Imple...

Preserving Scientific Integrity in Academic Publishing: Navigating Artificial Intelligence, Journal Policies, and the Impact Factor as a Quality Indicator.

The integration of artificial intelligence (AI), the rise of mega-journals, and the manipulation of impact factors present challenges to scientific in...

Cultural opportunities involving spiritual, existential, religious, or theological (SERT) themes: Three practical approaches.

This article applies the multicultural orientation framework (D. E. Davis et al., 2018) to enhance religious/spiritual competencies. The skills gap in...

Microbiome-metabolome generated bile acids gatekeep infliximab efficacy in Crohn's disease by licensing M1 suppression and Treg dominance.

INTRODUCTION: Despite the effectiveness of infliximab in treating Crohn's disease (CD), up to 40 % of patients fail to respond adequately. OBJECTIVES:...

Biomarkers associated with Hashimoto's thyroiditis induced by viral infection: An integrative bioinformatics and machine learning.

OBJECTIVE: Hashimoto's thyroiditis (HT) is a common disease characterized by autoimmune injury of the thyroid. Its pathogenesis entails complex intera...

Emerging innovations in ophthalmic drug delivery for diabetic retinopathy: a translational perspective.

Diabetic retinopathy (DR) is a progressive microvascular complication of diabetes and a leading cause of vision impairment worldwide. Despite advancem...