Publications by authors named "Inhee Lee"

The Yellow Sea (YS) and the East China Sea (ECS), which comprise continental shelves with depths of 200 m or less, are recognized as some of the most productive coastal areas globally. Although this high productivity can contribute to carbon sequestration, the spatiotemporal variability of the biological pump remains unclear. To investigate this variability, net community production (NCP) in August 2020 was estimated based on high-resolution O/Ar measurements.

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Artificial intelligence (AI) has transformed pediatric healthcare by supporting diagnostics, personalized treatment strategies, and prognosis predictions. Although it offers significant promise in these areas, its application in pediatric settings poses distinct challenges compared with that in adults due to variable developmental status, the limited availability of pediatric data, and ethical concerns regarding bias and transparency. This narrative review summarizes the key concepts of AI and its clinical applications across clinical fields in the treatment of children and adolescents.

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Genetic testing is essential for diagnosing and managing clinical conditions, particularly rare Mendelian diseases. Although efforts to identify rare phenotype-associated variants have focused on protein-truncating variants, interpreting missense variants remains challenging. Deep learning algorithms excel in various biomedical tasks, yet distinguishing pathogenic from benign missense variants remains elusive.

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Human induced pluripotent stem cell (hiPSC)-derived midbrain dopaminergic cells (mDACs) represent a promising source for autologous cell therapy in Parkinson's disease (PD), but standardized regulatory criteria are essential for clinical translation. In this pre-clinical study, we generated multiple clinical-grade hiPSC lines from freshly biopsied fibroblasts of four sporadic PD patients using episomal reprogramming and differentiated them into mDACs using a refined 21-day protocol. Rigorous evaluations included whole-genome/exome sequencing, RNA sequencing, and in vivo studies, including a 39-week Good Laboratory Practice-compliant mouse safety study.

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Article Synopsis
  • Biomedical research is increasingly integrating artificial intelligence (AI) and machine learning (ML) to tackle complex challenges, necessitating a focus on ethical and explainable AI (XAI) due to the complexities of deep learning methods.
  • The NIH's Bridge2AI program is working on creating new flagship datasets aimed at enhancing AI/ML applications in biomedicine while establishing best practices, tools, standards, and criteria for assessing the data's AI readiness, including legal and ethical considerations.
  • The article outlines foundational criteria developed by the NIH Bridge2AI Standards Working Group to ensure the scientific rigor and ethical use of AI in biomedical research, emphasizing the need for ongoing adaptation as the field evolves.
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  • - Multinucleated microglia, typically seen in infection, inflammation, and aging, may actually help clear brain debris due to their larger size and enhanced phagocytic capabilities, prompting a reevaluation of their role in diseases.
  • - Researchers inhibited Pyk2 activity with PF-431396 to promote the formation of multinucleated microglia, finding that these cells were more effective at engulfing β-amyloid oligomers and showed increased lysosomal activity, indicating improved debris clearance.
  • - In a mouse model of Alzheimer's, inhibiting Pyk2 led to increased microglial migration towards amyloid deposits and reduced inflammation in human microglia, positioning Pyk2 as a potential therapeutic target for neuro
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Genetic testing has become an essential component in the diagnosis and management of a wide range of clinical conditions, from cancer to developmental disorders, especially in rare Mendelian diseases. Efforts to identify rare phenotype-associated variants have predominantly focused on protein-truncating variants, while the interpretation of missense variants presents a considerable challenge. Deep learning algorithms excel in various applications across biomedical tasks, yet accurately distinguishing between pathogenic and benign genetic variants remains an elusive goal.

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The field of nanoscale magnetic resonance imaging (NanoMRI) was started 30 years ago. It was motivated by the desire to image single molecules and molecular assemblies, such as proteins and virus particles, with near-atomic spatial resolution and on a length scale of 100 nm. Over the years, the NanoMRI field has also expanded to include the goal of useful high-resolution nuclear magnetic resonance (NMR) spectroscopy of molecules under ambient conditions, including samples up to the micron-scale.

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Inhaled corticosteroids (ICS) are efficacious in the treatment of asthma, which affects more than 300 million people in the world. While genome-wide association studies have identified genes involved in differential treatment responses to ICS in asthma, few studies have evaluated the effects of combined rare and common variants on ICS response among children with asthma. Among children with asthma treated with ICS with whole exome sequencing (WES) data in the PrecisionLink Biobank (91 White and 20 Black children), we examined the effect and contribution of rare and common variants with hospitalizations or emergency department visits.

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To maximize the photoelectrochemical (PEC) hydrogen production performance of quantum dot (QD)-decorated photoelectrodes, it is crucial to prioritize the optimization of electrode's structure, including thickness and porosity. In this study, we prepare PbS QD-decorated mesoporous TiO photoanodes for PEC hydrogen production, and systematically investigate the influence of the photoanode thickness on optical properties and PEC performances. As the thickness of photoanodes increases from 6.

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Osteoclasts uniquely resorb calcified bone matrices. To exert their function, mature osteoclasts maintain the cellular polarity and directional vesicle trafficking to and from the resorbing bone surface. However, the regulatory mechanisms and pathophysiological relevance of these processes remain largely unexplored.

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Background: Unravelling the relationships between candidate genes and autism spectrum disorder (ASD) phenotypes remains an outstanding challenge. Endophenotypes, defined as inheritable, measurable quantitative traits, might provide intermediary links between genetic risk factors and multifaceted ASD phenotypes. In this study, we sought to determine whether plasma metabolite levels could serve as endophenotypes in individuals with ASD and their family members.

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The regulatory elements in proximal and distal regions of genes are involved in the regulation of gene expression. Risk alleles in intronic and intergenic regions may alter gene expression by modifying the binding affinity and stability of diverse DNA-binding proteins implicated in gene expression regulation. By focusing on the local ancestral structure of coding and regulatory regions using the paired whole-genome sequence and tissue-wide transcriptome datasets from the Genotype-Tissue Expression project, we investigated the impact of genetic variants, in aggregate, on tissue-specific gene expression regulation.

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  • The study explores how genetics affects metabolite levels in children, using a large sample size of 441 kids and analyzing nearly 620,000 genetic variants.
  • The research shows a variety of heritability estimates for different metabolites, with some having strong genetic influences, particularly those related to amino acids, while others like carbohydrates showed weak links.
  • It identifies 54 significant genetic associations with specific metabolites, some of which have been previously studied, while also hinting at new potential associations, indicating the complexity of metabolic genetics in children.
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Autism spectrum disorder (ASD) represents a heterogeneous group of neurodevelopmental disorders and is largely attributable to genetic risk factors. Phenotypic and genetic heterogeneity of ASD have been well-recognized; however, genetic substrates for endophenotypes that constitute phenotypic heterogeneity are not yet known. In the present study, we compiled data from the Autism Genetic Resource Exchange, which contains the demographic and detailed phenotype information of 11,961 individuals.

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  • Liver cancer is a major global health issue, ranking as the sixth-most common and second-most deadly cancer, causing around 830,000 deaths yearly.
  • This study explores the effects of a herbal drug called FDY003, which was found to reduce the growth of liver cancer cells and increase their sensitivity to chemotherapy.
  • The research identified 16 active compounds in FDY003 that interact with 91 targets involved in liver cancer progression, affecting key biological processes and important signaling pathways related to the disease.
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  • Pediatric acute respiratory distress syndrome (PARDS) is a serious condition in critically ill children, but effective treatments are lacking due to unclear understanding of its biological mechanisms.
  • * Researchers have used both targeted and broad approaches to study PARDS, but most advancements have come from adult studies, leaving a gap in pediatric-specific research.
  • * The authors emphasize the need for advanced techniques like single-cell RNA sequencing to better understand PARDS mechanisms and develop targeted therapies for children.
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Pancreatic cancer (PC) is the most lethal cancer with the lowest survival rate globally. Although the prescription of herbal drugs against PC is gaining increasing attention, their polypharmacological therapeutic mechanisms are yet to be fully understood. Based on network pharmacology, we explored the anti-PC properties and system-level mechanisms of the herbal drug FDY003.

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Purpose: The need for customized implants has continuously increased, but patient-specific silicone implants are not yet commonly used in the plastic surgery market. We sought to validate the effectiveness of a 3D customized nasal implant design in terms of design and lead time compared with a manually customized implant by a surgeon.

Materials And Methods: Based on the computed tomography (CT) findings of 15 patients who planned rhinoplasty, a surgeon wrote order forms reflecting the surgical plan and subsequently designed implants manually using epoxy on a 3D printed skull.

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Pine Island Ice Shelf (PIIS) buttresses the Pine Island Glacier, the key contributor to sea-level rise. PIIS has thinned owing to ocean-driven melting, and its calving front has retreated, leading to buttressing loss. PIIS melting depends primarily on the thermocline variability in its front.

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We demonstrate a high-quality spin-orbit torque nano-oscillator comprised of spin wave modes confined by the magnetic field by the strongly inhomogeneous dipole field of a nearby micromagnet. This approach enables variable spatial confinement and systematic tuning of magnon spectrum and spectral separations for studying the impact of multimode interactions on auto-oscillations. We find these dipole-field-localized spin wave modes exhibit good characteristic properties as auto-oscillators─narrow line width and large amplitude─while persisting up to room temperature.

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Stem cell therapeutics are emerging as novel alternative treatments for various neurodegenerative diseases based on their regenerative potentials. However, stem cell transplantation might have side effects such as tumor formation that limit their clinical applications. Especially, in vitro expansion of stem cells might provoke genetic instability and tumorigenic potential.

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Pacific Island land snails are highly endangered due in part to misguided biological control programs employing the alien predator Euglandina rosea. Its victims include the fabled Society Island partulid tree snail fauna, but a few members have avoided extirpation in the wild, including the distinctly white-shelled Partula hyalina. High albedo shell coloration can facilitate land snail survival in open, sunlit environments and we hypothesized that P.

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Background: Whole exome sequencing (WES) is widely adopted in clinical and research settings; however, one of the practical concerns is the potential false negatives due to incomplete breadth and depth of coverage for several exons in clinically implicated genes. In some cases, a targeted gene panel testing may be a dependable option to ascertain true negatives for genomic variants in known disease-associated genes. We developed a web-based tool to quickly gauge whether all genes of interest would be reliably covered by WES or whether targeted gene panel testing should be considered instead to minimize false negatives in candidate genes.

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