Yong Sang Song
YOU?
Author Swipe
View article: Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models
Synapse: Adaptive Arbitration of Complementary Expertise in Time Series Foundational Models Open
Pre-trained Time Series Foundational Models (TSFMs) represent a significant advance, capable of forecasting diverse time series with complex characteristics, including varied seasonalities, trends, and long-range dependencies. Despite thei…
View article: Case report and diagnostic implications of misdiagnosis of pericardial myxoid liposarcoma by multimodal imaging
Case report and diagnostic implications of misdiagnosis of pericardial myxoid liposarcoma by multimodal imaging Open
Myxoid liposarcoma (MLPS) typically occurs in the extremities. Pericardial involvement is exceptionally rare and usually indicates metastatic disease. Because of their non-specific imaging features, such lesions are often mistaken for beni…
View article: Decoding lysophosphatidic acid signaling in physiology and disease: mapping the multimodal and multinodal signaling networks
Decoding lysophosphatidic acid signaling in physiology and disease: mapping the multimodal and multinodal signaling networks Open
Lysophosphatidic acid (LPA) signaling has emerged as a central regulatory axis in both normal physiology and disease, orchestrating diverse cellular processes such as proliferation, survival, migration, immune modulation, and tissue remode…
View article: Figure_S1 from Impact of Changes in Obesity and Abdominal Obesity on Endometrial Cancer Risk in Young Korean Women: A Nationwide Cohort Study
Figure_S1 from Impact of Changes in Obesity and Abdominal Obesity on Endometrial Cancer Risk in Young Korean Women: A Nationwide Cohort Study Open
Supplementary Figure S1 shows the diagram of the study population. Participants were followed until the date of endometrial cancer diagnosis, death, or the end of 2020.
View article: Data from Impact of Changes in Obesity and Abdominal Obesity on Endometrial Cancer Risk in Young Korean Women: A Nationwide Cohort Study
Data from Impact of Changes in Obesity and Abdominal Obesity on Endometrial Cancer Risk in Young Korean Women: A Nationwide Cohort Study Open
Background:The increasing incidence of endometrial cancer in young women parallels the increasing prevalence of obesity, a well-established risk factor. However, the impact of longitudinal changes in obesity and abdominal obesity on early-…
View article: Toward large reasoning models: A survey of reinforced reasoning with large language models
Toward large reasoning models: A survey of reinforced reasoning with large language models Open
View article: HEART: Emotionally-driven test-time scaling of Language Models
HEART: Emotionally-driven test-time scaling of Language Models Open
Test-time scaling has shown considerable success in improving the performance of language models on complex reasoning tasks without requiring fine-tuning. However, current strategies such as self-reflection primarily focus on logical or st…
View article: Rapid and sensitive pyrotinib quantification in rat plasma via UHPLC-Q-Orbitrap MS for comprehensive pharmacokinetic studies
Rapid and sensitive pyrotinib quantification in rat plasma via UHPLC-Q-Orbitrap MS for comprehensive pharmacokinetic studies Open
Pyrotinib, a potent tyrosine kinase inhibitor, is pivotal in treating human epidermal growth factor receptor 2-positive breast cancer. This research established and validated an ultrasensitive and selective UHPLC-Q-Orbitrap MS method for p…
View article: Multiple Weaks Win Single Strong: Large Language Models Ensemble Weak Reinforcement Learning Agents into a Supreme One
Multiple Weaks Win Single Strong: Large Language Models Ensemble Weak Reinforcement Learning Agents into a Supreme One Open
Model ensemble is a useful approach in reinforcement learning (RL) for training effective agents. Despite wide success of RL, training effective agents remains difficult due to the multitude of factors requiring careful tuning, such as alg…
View article: LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models
LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models Open
Policy exploration is critical in reinforcement learning (RL), where existing approaches include greedy, Gaussian process, etc. However, these approaches utilize preset stochastic processes and are indiscriminately applied in all kinds of …
View article: Innovative qPCR Algorithm Using Platelet-Derived RNA for High-Specificity and Cost-Effective Ovarian Cancer Detection
Innovative qPCR Algorithm Using Platelet-Derived RNA for High-Specificity and Cost-Effective Ovarian Cancer Detection Open
Background/Objectives: Ovarian cancer (OC) remains one of the most lethal gynecologic malignancies, largely due to the challenges of early detection. While next-generation sequencing (NGS) has been explored for screening, its high cost lim…
View article: On the Role of Feedback in Test-Time Scaling of Agentic AI Workflows
On the Role of Feedback in Test-Time Scaling of Agentic AI Workflows Open
Agentic AI workflows (systems that autonomously plan and act) are becoming widespread, yet their task success rate on complex tasks remains low. A promising solution is inference-time alignment, which uses extra compute at test time to imp…
View article: Catalyzing early ovarian cancer detection: Platelet RNA-based precision screening
Catalyzing early ovarian cancer detection: Platelet RNA-based precision screening Open
View article: Platelets in Cancer: Multifaceted Roles Beyond Hemostasis to Early Detection
Platelets in Cancer: Multifaceted Roles Beyond Hemostasis to Early Detection Open
Tumor-educated platelets (TEPs) are emerging as powerful minimally invasive liquid bi-opsy modalities for cancer diagnosis and prognosis. Through crosstalk with tumor cells, platelets sequester tumor-derived molecules and exhibit altered R…
View article: ENACT: End-to-End Analysis of Visium High Definition (HD) Data
ENACT: End-to-End Analysis of Visium High Definition (HD) Data Open
Motivation Spatial transcriptomics (ST) enables the study of gene expression within its spatial context in histopathology samples. To date, a limiting factor has been the resolution of sequencing based ST products. The introduction of the …
View article: The impact of radiotherapy on disease control in vulvar extramammary Paget’s disease: a retrospective study from a single institution
The impact of radiotherapy on disease control in vulvar extramammary Paget’s disease: a retrospective study from a single institution Open
Objective Vulvar extramammary Paget’s disease (EMPD) is a rare intraepithelial carcinoma that affects apocrine gland-bearing skin, predominantly in postmenopausal women. Due to its rarity, optimal treatment strategies, including the role o…
View article: Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Open
Language has long been conceived as an essential tool for human reasoning. The breakthrough of Large Language Models (LLMs) has sparked significant research interest in leveraging these models to tackle complex reasoning tasks. Researchers…
View article: Prostate Cancer at the Microbial Crossroads: Illuminating a New Frontier in Precision Medicine
Prostate Cancer at the Microbial Crossroads: Illuminating a New Frontier in Precision Medicine Open
The human body harbors a complex, dynamic community of trillions of microbes, collectively termed the microbiota, which profoundly affects homeostasis and disease processes, including cancer. Prostate cancer remains a major cause of morbid…
View article: Cumulative abdominal obesity exposure and risk of endometrial cancer in young women: a population-based cohort study
Cumulative abdominal obesity exposure and risk of endometrial cancer in young women: a population-based cohort study Open
BACKGROUND Abdominal obesity is currently being investigated as an indicator of adiposity and cancer risk, and its prevalence is increasing in young women. This study aimed to examine whether cumulative abdominal obesity exposure in young …
View article: Strategic Advances in Combination Therapy for Metastatic Castration-Sensitive Prostate Cancer: Current Insights and Future Perspectives
Strategic Advances in Combination Therapy for Metastatic Castration-Sensitive Prostate Cancer: Current Insights and Future Perspectives Open
The contemporary treatment for metastatic castration-sensitive prostate cancer (mCSPC) has evolved significantly, building on successes in managing metastatic castration-resistant prostate cancer (mCRPC). Although androgen deprivation ther…
View article: Tailored chemotherapy: Innovative deep‐learning model customizing chemotherapy for high‐grade serous ovarian carcinoma
Tailored chemotherapy: Innovative deep‐learning model customizing chemotherapy for high‐grade serous ovarian carcinoma Open
View article: Strategic Advances in Combination Therapy for Metastatic Castration-Sensitive Prostate Cancer: Current Insights and Future Perspectives
Strategic Advances in Combination Therapy for Metastatic Castration-Sensitive Prostate Cancer: Current Insights and Future Perspectives Open
The contemporary treatment for metastatic castration-sensitive prostate cancer (mCSPC) has evolved significantly, building on successes in managing metastatic castration-resistant prostate cancer (mCRPC). Although androgen deprivation ther…
View article: Stearoyl-CoA desaturase 1 inhibition induces ER stress-mediated apoptosis in ovarian cancer cells
Stearoyl-CoA desaturase 1 inhibition induces ER stress-mediated apoptosis in ovarian cancer cells Open
View article: Mitochondrial fission enhances <scp>IL</scp>‐6‐induced metastatic potential in ovarian cancer via <scp>ERK1</scp>/2 activation
Mitochondrial fission enhances <span>IL</span>‐6‐induced metastatic potential in ovarian cancer via <span>ERK1</span>/2 activation Open
Ovarian cancer is a lethal gynecologic cancer mostly diagnosed in an advanced stage with an accumulation of ascites. Interleukin‐6 (IL‐6), a pro‐inflammatory cytokine is highly elevated in malignant ascites and plays a pleiotropic role in …
View article: Modulation of Cisplatin Sensitivity through TRPML1-Mediated Lysosomal Exocytosis in Ovarian Cancer Cells: A Comprehensive Metabolomic Approach
Modulation of Cisplatin Sensitivity through TRPML1-Mediated Lysosomal Exocytosis in Ovarian Cancer Cells: A Comprehensive Metabolomic Approach Open
Background: The lysosome has emerged as a promising target for overcoming chemoresistance, owing to its role in facilitating the lysosomal sequestration of drugs. The lysosomal calcium channel TRPML1 not only influences lysosomal biogenesi…
View article: Robotic Skill Acquisition in Peg-in-hole Assembly Tasks Based on Deep Reinforcement Learning
Robotic Skill Acquisition in Peg-in-hole Assembly Tasks Based on Deep Reinforcement Learning Open
View article: Breast and Gynecologic Cancer Risk in Postmenopausal Women: A Nationwide Cohort Study in South Korea Comparing Hormone Replacement Therapy Users and Non-Users
Breast and Gynecologic Cancer Risk in Postmenopausal Women: A Nationwide Cohort Study in South Korea Comparing Hormone Replacement Therapy Users and Non-Users Open
View article: Impact of Bevacizumab on Clinical Outcomes in Patients With Platinum-resistant Relapsed Ovarian Cancer
Impact of Bevacizumab on Clinical Outcomes in Patients With Platinum-resistant Relapsed Ovarian Cancer Open
In a real-world clinical setting, introduction of bevacizumab led to improvement of OS in patients with PR-ROC with a tolerable toxicity.
View article: SO022/#851 Development of next-generation RNA sequencing-based deep-learning models to predict chemoresistance risk in high-grade serous ovarian carcinoma
SO022/#851 Development of next-generation RNA sequencing-based deep-learning models to predict chemoresistance risk in high-grade serous ovarian carcinoma Open
Introduction To implement precision cancer medicine in ovarian cancer, precise prediction of treatment response and identification of patients at high risk of disease recurrence are the first steps. Thus, we aimed to develop a next-generat…
View article: EP190/#845 Impact of obesity and menopausal status on development of gynecologic cancers in Korean women
EP190/#845 Impact of obesity and menopausal status on development of gynecologic cancers in Korean women Open
Introduction To investigate the risk of gynecologic cancers according to obesity and menopausal status using a nationwide cohort in Korea. Methods We identified 2,708,938 women from the National Health Insurance Service cohort, and obtaine…