Severe Hypercalcemia Following Hip Joint Implantation of Calcium Sulfate Antibiotic Beads: Case Series and Review of Literature.

Purpose: The diagnosis and management of hypercalcemia in hospitalized patients can be challenging. Hypercalcemia is often associated with significant morbidity and end-organ damage which may delay a patient's recovery.

Methods: We report a case series of three patients who underwent orthopedic procedures with intraoperative placement of vancomycin-loaded calcium sulfate beads.

Progressive Approaches in Oncological Diagnosis and Surveillance: Real-Time Impedance-Based Techniques and Advanced Algorithms.

Cancer remains a formidable global health challenge, necessitating the development of innovative diagnostic techniques capable of early detection and differentiation of tumor/cancerous cells from their healthy counterparts. This review focuses on the confluence of advanced computational algorithms with noninvasive, label-free impedance-based biophysical methodologies-techniques that assess biological processes directly without the need for external markers or dyes. This review elucidates a diverse array of state-of-the-art impedance-based technologies, illuminating distinct electrical signatures inherent to cancer vs healthy tissues.

Recruitment Challenges and Strategies in a Technology-Based Intervention for Dementia Caregivers: Descriptive Study.

Background: Researchers have encountered challenges in recruiting unpaid caregivers of people living with Alzheimer disease and related dementias for intervention studies. However, little is known about the reasons for nonparticipation in in-home smart health interventions in community-based settings.

Objective: This study aimed to (1) assess recruitment rates in a smart health technology intervention for caregivers of people living with Alzheimer disease and related dementias and reasons for nonparticipation among them and (2) discuss lessons learned from recruitment challenges and strategies to improve recruitment.

Interlayer reconstruction phase transition in van der Waals materials.

Van der Waals materials display rich structural polymorphs with distinct physical properties. An atomistic understanding of the phase-transition dynamics, propagation pathway and associated evolution of physical properties is essential for capturing their potential in practical technologies. However, direct visualization of the rapid phase-transition process is fundamentally challenging due to the inherent trade-offs among atomic resolution, field of view and imaging frame rate.

Branched endosomal disruptor (BEND) lipids mediate delivery of mRNA and CRISPR-Cas9 ribonucleoprotein complex for hepatic gene editing and T cell engineering.

Lipid nanoparticles (LNPs) are the preeminent non-viral drug delivery vehicle for mRNA-based therapies. Immense effort has been placed on optimizing the ionizable lipid (IL) structure, which contains an amine core conjugated to lipid tails, as small molecular adjustments can result in substantial changes in the overall efficacy of the resulting LNPs. However, despite some advancements, a major barrier for LNP delivery is endosomal escape.

Multimodal consumer choice prediction using EEG signals and eye tracking.

Marketing plays a vital role in the success of a business, driving customer engagement, brand recognition, and revenue growth. Neuromarketing adds depth to this by employing insights into consumer behavior through brain activity and emotional responses to create more effective marketing strategies. Electroencephalogram (EEG) has typically been utilized by researchers for neuromarketing, whereas Eye Tracking (ET) has remained unexplored.

Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance.

Artificial intelligence (AI) has transformed infectious disease control, enhancing rapid diagnosis and antibiotic discovery. While conventional tests delay diagnosis, AI-driven methods like machine learning and deep learning assist in pathogen detection, resistance prediction, and drug discovery. These tools improve antibiotic stewardship and identify effective compounds such as antimicrobial peptides and small molecules.

Small and Versatile Cyclotides as Anti-infective Agents.

Plants provide an abundant source of potential therapeutic agents, including a diverse array of compounds, such as cyclotides, which are peptides known for their antimicrobial activity. Cyclotides are multifaceted molecules with a wide range of biological activities. Their unique topology forms a head-to-tail cyclic structure reinforced by a cysteine knot, which confers chemical and thermal stability.

Transitioning from the safety of the womb to the outside world for neonates with life-threatening cardiovascular conditions: The IMmediate Postpartum Access to Cardiac Therapy (IMPACT) Procedure.

The IMmediate Postpartum Access to Cardiac Therapy (IMPACT) procedure is a multidisciplinary, collaborative, highly coordinated clinical service in which a planned delivery and intensive neonatal care are offered for conditions where there is a high likelihood of postnatal instability. This process includes prenatal consultation with the parent(s), involving each service engaged with the delivery, postnatal resuscitation, and procedural care. A Cesarean section delivery is planned in an operating room with immediate access to a multifunctional procedural suite where the neonate can undergo rapid cardiac evaluation and initiation of interventional treatments which can have a positive, life-saving impact.

Improving functional protein generation via foundation model-derived latent space likelihood optimization.

A variety of deep generative models have been adopted to perform functional protein generation. Compared to 3D protein design, sequence-based generation methods, which aim to generate amino acid sequences with desired functions, remain a major approach for functional protein generation due to the abundance and quality of protein sequence data, as well as the relatively low modeling complexity for training. Although these models are typically trained to match protein sequences from the training data, exact matching of every amino acid is not always essential.

Predicting right ventricular failure after left ventricular assist device implant: A novel approach.

Aims: Right ventricular (RV) failure (RVF) after left ventricular assist device (LVAD) implant is an important cause of morbidity and mortality. Modern, data-driven approaches for defining and predicting RVF have been under-utilized.

Methods: Two hundred thirty-two patients were identified with a mean age of 55 years; 40 (17%) were women, 132 were (59%) Caucasian and 74 (32%) were Black.

Neural Variability and Cognitive Control in Individuals With Opioid Use Disorder.

Importance: Opioid use disorder (OUD) impacts millions of people worldwide. Prior studies investigating its underpinning neural mechanisms have not often considered how brain signals evolve over time, so it remains unclear whether brain dynamics are altered in OUD and have subsequent behavioral implications.

Objective: To characterize brain dynamic alterations and their association with cognitive control in individuals with OUD.

Specification of claustro-amygdalar and palaeocortical neurons and circuits.

The ventrolateral pallial (VLp) excitatory neurons in the claustro-amygdalar complex and piriform cortex (PIR; which forms part of the palaeocortex) form reciprocal connections with the prefrontal cortex (PFC), integrating cognitive and sensory information that results in adaptive behaviours. Early-life disruptions in these circuits are linked to neuropsychiatric disorders, highlighting the importance of understanding their development. Here we reveal that the transcription factors SOX4, SOX11 and TFAP2D have a pivotal role in the development, identity and PFC connectivity of these excitatory neurons.

Skeletal and dental tissue mineralization: The potential role of the endoplasmic reticulum/Golgi complex and the endolysosomal and autophagic transport systems.

This paper presents a review of the potential role of the endoplasmic reticulum/Golgi complex and intracellular vesicles in mediating events leading to or associated with vertebrate tissue mineralization. The possible importance of these organelles in this process is suggested by observations that calcium ions accumulate in the tubules and lacunae of the endoplasmic reticulum and Golgi. Similar levels of calcium ions (approaching millimolar) are present in vesicles derived from endosomes, lysosomes and autophagosomes.

Microproteins: emerging roles as antibiotics.

Recent advances in computational prediction and experimental techniques have detected previously unknown microproteins, particularly in the human microbiome. These small proteins, produced by diverse microbial species, are emerging as promising candidates for new antibiotics.

Robotic Microcapsule Assemblies with Adaptive Mobility for Targeted Treatment of Rugged Biological Microenvironments.

Microrobots are poised to transform biomedicine by enabling precise, noninvasive procedures. However, current magnetic microrobots, composed of solid monolithic particles, present fundamental challenges in engineering intersubunit interactions, limiting their collective effectiveness in navigating irregular biological terrains and confined spaces. To address this, we design hierarchically assembled microrobots with multiaxis mobility and collective adaptability by engineering the potential magnetic interaction energy between subunits to create stable, self-reconfigurable structures capable of carrying and protecting cargo internally.

Digital recombinase polymerase amplification chip based on asymmetric contact angle composite interface.

Background: Digital recombinase polymerase amplification (dRPA) is an effective tool for the absolute quantification of nucleic acids and the detection of rare mutations. Due to the high viscosity or other physical properties of the reagent, this can compromise the accuracy and reproducibility of detection results, which limits the broader adoption and practical application of this technology. In this study, we developed an asymmetric contact angle digital isothermal detection (ACA-DID) chip and optimized the ACA-DID chip structure to achieve rapid digital recombinase polymerase amplification.

The breast cancer genetic testing experience: probing the potential utility of an online decision aid in risk perception and decision making.

Background: Despite the association of pathogenic variants (PVs) in cancer predisposition genes with significantly increased risk of breast cancer (BC), uptake of genetic testing (GT) remains low, especially among ethnic minorities. Our prior study identified that a patient decision aid, RealRisks, improved patient-reported outcomes (including worry and perceived risk) relative to standard educational materials. This study examined patients' GT experience and its influence on subsequent actions.

Venomics AI: a computational exploration of global venoms for antibiotic discovery.

The relentless emergence of antibiotic-resistant pathogens, particularly Gram-negative bacteria, highlights the urgent need for novel therapeutic interventions. Drug-resistant infections account for approximately 5 million deaths annually, yet the antibiotic development pipeline has largely stagnated. Venoms, representing a remarkably diverse reservoir of bioactive molecules, remain an underexploited source of potential antimicrobials.

Passive Isothermal Flexible Sensor Enabled by Smart Thermal-Regulating Aerogels.

Environmentally induced sensor temperature fluctuations can distort the outputs of a sensor, reducing their stability during long-term health monitoring. Here, a passive isothermal flexible sensor is proposed by using hierarchical cellulose aerogel (HCA) as the top tribonegative layer, which allows the sensor to adapt dynamic thermal environments through both radiative cooling and heat insulation. The radiative cooling effect can cool down the temperatures of a sensor in summer, while the hollow microfibers in HCA provide ultralow thermal conductivity to reduce internal heat loss in winter.

AI Methods for Antimicrobial Peptides: Progress and Challenges.

Antimicrobial peptides (AMPs) are promising candidates to combat multidrug-resistant pathogens. However, the high cost of extensive wet-lab screening has made AI methods for identifying and designing AMPs increasingly important, with machine learning (ML) techniques playing a crucial role. AI approaches have recently revolutionised this field by accelerating the discovery of new peptides with anti-infective activity, particularly in preclinical mouse models.

Laser speckle contrast imaging with principal component and entropy analysis: a novel approach for depth-independent blood flow assessment.

Current study presents an advanced method for improving the visualization of subsurface blood vessels using laser speckle contrast imaging (LSCI), enhanced through principal component analysis (PCA) filtering. By combining LSCI and laser speckle entropy imaging with PCA filtering, the method effectively separates static and dynamic components of the speckle signal, significantly improving the accuracy of blood flow assessments, even in the presence of static scattering layers located above and below the vessel. Experiments conducted on optical phantoms, with the vessel depths ranging from 0.

Clickable liposomes for on-demand reversal of antiplatelet drugs: Towards a safe management of bleeding risks associated with antithrombotic therapy.

Antithrombotic drugs are widely used to prevent thrombotic events in patients with cardiovascular diseases. However, they all carry varying degrees of bleeding risk. Currently, there are no approved reversal agents for antiplatelet medications, which limits their further clinical application and poses challenges in managing bleeding complications.

The role of patient ergonomics in improving health research participation.

Patient ergonomics advances understanding of patient work to support individuals in managing health and health care, which can be expanded to include health research. While health research enables improvements in care delivery and health outcomes, participant recruitment, enrollment, and retention challenges hamper effective research participation, impede success of research studies, and influence the validity and generalizability of findings. Recent trends in health research create new opportunities to engage patients in research but require careful attention to patient ergonomics and human factors considerations to ensure they successfully address participant needs and contexts.