Objective: The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions. Methods: We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores. Results: The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks. Conclusion The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.

Objective: The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions. Methods: We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores. Results: The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks. Conclusion The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.

Objective: The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions. Methods: We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores. Results: The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks. Conclusion The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.

In the 2023 series, we summarized the major clinical research advances in gynecologic oncology based on communications at the conference of Asian Society of Gynecologic Oncology Review Course. The review consisted of 1) Endometrial cancer: immune checkpoint inhibitor, antibody drug conjugates (ADCs), selective inhibitor of nuclear export, CDK4/6 inhibitors WEE1 inhibitor, poly (ADP-ribose) polymerase (PARP) inhibitors. 2) Cervical cancer: surgery in low-risk early-stage cervical cancer, therapy for locally advanced stage and advanced, metastatic, or recurrent setting; and 3) Ovarian cancer: immunotherapy, triplet therapies using immune checkpoint inhibitors along with antiangiogenic agents and PARP inhibitors, and ADCs. In 2023, the field of endometrial cancer treatment witnessed a landmark year, marked by several practice-changing outcomes with immune checkpoint inhibitors and the reliable efficacy of PARP inhibitors and ADCs.

Objective: We aimed to revalidate the chemotherapy response score (CRS) system as a prognostic factor for ovarian cancer patients with breast cancer gene (BRCA) mutations or those receiving frontline poly-ADP ribose polymerase (PARP) inhibitors or bevacizumab as maintenance therapy. Methods: A retrospective analysis was performed using medical records of patients with high-grade serous carcinoma who received neoadjuvant chemotherapy followed by interval debulking surgery between January 2007 and December 2021 at 5 tertiary medical institutions in South Korea. At each hospital, pathologists independently assessed each slide of omental tissues obtained from surgery using the CRS system. Progression-free survival (PFS) and overall survival (OS) values were obtained using Kaplan-Meier analysis to evaluate the effect of BRCA mutation, maintenance therapy, and CRS on survival time. Results: Of 466 patients, BRCA mutations were detected in 156 (33.5%) and 131 (28.1%) were treated with maintenance therapy; 98 (21.0%) and 42 (9.0%) were treated with PARP inhibitors or bevacizumab, respectively. Patients with CRS3 had significantly longer PFS than those with CRS1 or 2 (24.7 vs. 16.8 months, p<0.001). However, there was no significant difference in PFS improvement between CRS3 patients and those with CRS1 or 2 with BRCA mutation (22.0 vs. 19.3 months, p=0.193). Moreover, no significant PFS prolongation was observed in CRS3 patients compared to CRS1 or 2 patients treated with PARP inhibitors or bevacizumab (24.3 vs. 22.4 months, p=0.851; 27.5 vs. 15.7 months, p=0.347, respectively). Conclusion CRS may not be a prognostic factor in patients with BRCA mutations and those receiving frontline maintenance therapy.

Purpose: We sought to evaluate the time-dependent efficacy and safety of eplerenone for central serous chorioretinopathy. Methods: A systematic search was performed from inception to May 2023 in the Medline, EMBASE, and Cochrane literature databases to find randomized controlled trials that have administered oral eplerenone therapy to central serous chorioretinopathy patients. Results: Five randomized controlled trials were included in the final analysis. Among a total of 252 central serous chorioretinopathy patients, 134 were included in the eplerenone group and 118 were included in the control group. The best-corrected visual acuity was statistically significantly improved in the eplerenone group compared to the control group (95% confidence interval [CI], -0.08 to -0.02; p = 0.001). After meta-analysis was performed at each follow-up point, it was found that eplerenone statistically significantly improved the best-corrected visual acuity compared to the control group at 2 and 3 months after starting oral eplerenone therapy, but there was no statistically significant difference at 6 months. Subretinal fluid, chorioretinal thickness, central macular thickness, and complications showed no statistically significant differences between the eplerenone and control groups (p = 0.43, 0.67, 0.64, and 0.12, respectively). The difference in the risk of complications occurring between the eplerenone and control groups also didn’t show statistical significance (p = 0.12). Conclusions Although eplerenone is not superior to a control protocol when considering anatomical improvements, the best-corrected visual acuity seems to improve up to 3 months superiorly compared to in the control group when oral eplerenone therapy is administered for central serous chorioretinopathy. In addition, the complications of eplerenone are tolerable. Therefore, clinically short-term use of eplerenone up to 3 months in central serous chorioretinopathy patients can be considered.

In the 2023 series, we summarized the major clinical research advances in gynecologic oncology based on communications at the conference of Asian Society of Gynecologic Oncology Review Course. The review consisted of 1) Endometrial cancer: immune checkpoint inhibitor, antibody drug conjugates (ADCs), selective inhibitor of nuclear export, CDK4/6 inhibitors WEE1 inhibitor, poly (ADP-ribose) polymerase (PARP) inhibitors. 2) Cervical cancer: surgery in low-risk early-stage cervical cancer, therapy for locally advanced stage and advanced, metastatic, or recurrent setting; and 3) Ovarian cancer: immunotherapy, triplet therapies using immune checkpoint inhibitors along with antiangiogenic agents and PARP inhibitors, and ADCs. In 2023, the field of endometrial cancer treatment witnessed a landmark year, marked by several practice-changing outcomes with immune checkpoint inhibitors and the reliable efficacy of PARP inhibitors and ADCs.

Objective: We aimed to revalidate the chemotherapy response score (CRS) system as a prognostic factor for ovarian cancer patients with breast cancer gene (BRCA) mutations or those receiving frontline poly-ADP ribose polymerase (PARP) inhibitors or bevacizumab as maintenance therapy. Methods: A retrospective analysis was performed using medical records of patients with high-grade serous carcinoma who received neoadjuvant chemotherapy followed by interval debulking surgery between January 2007 and December 2021 at 5 tertiary medical institutions in South Korea. At each hospital, pathologists independently assessed each slide of omental tissues obtained from surgery using the CRS system. Progression-free survival (PFS) and overall survival (OS) values were obtained using Kaplan-Meier analysis to evaluate the effect of BRCA mutation, maintenance therapy, and CRS on survival time. Results: Of 466 patients, BRCA mutations were detected in 156 (33.5%) and 131 (28.1%) were treated with maintenance therapy; 98 (21.0%) and 42 (9.0%) were treated with PARP inhibitors or bevacizumab, respectively. Patients with CRS3 had significantly longer PFS than those with CRS1 or 2 (24.7 vs. 16.8 months, p<0.001). However, there was no significant difference in PFS improvement between CRS3 patients and those with CRS1 or 2 with BRCA mutation (22.0 vs. 19.3 months, p=0.193). Moreover, no significant PFS prolongation was observed in CRS3 patients compared to CRS1 or 2 patients treated with PARP inhibitors or bevacizumab (24.3 vs. 22.4 months, p=0.851; 27.5 vs. 15.7 months, p=0.347, respectively). Conclusion CRS may not be a prognostic factor in patients with BRCA mutations and those receiving frontline maintenance therapy.

Objective: The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions. Methods: We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores. Results: The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks. Conclusion The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.

In the 2023 series, we summarized the major clinical research advances in gynecologic oncology based on communications at the conference of Asian Society of Gynecologic Oncology Review Course. The review consisted of 1) Endometrial cancer: immune checkpoint inhibitor, antibody drug conjugates (ADCs), selective inhibitor of nuclear export, CDK4/6 inhibitors WEE1 inhibitor, poly (ADP-ribose) polymerase (PARP) inhibitors. 2) Cervical cancer: surgery in low-risk early-stage cervical cancer, therapy for locally advanced stage and advanced, metastatic, or recurrent setting; and 3) Ovarian cancer: immunotherapy, triplet therapies using immune checkpoint inhibitors along with antiangiogenic agents and PARP inhibitors, and ADCs. In 2023, the field of endometrial cancer treatment witnessed a landmark year, marked by several practice-changing outcomes with immune checkpoint inhibitors and the reliable efficacy of PARP inhibitors and ADCs.