Delving into the Latest Updates on Prince of Songkla University with Synapse

Overview

Tags

Neoplasms

CAR-T

Disease domain score

A glimpse into the focused therapeutic areas

Technology Platform

Most used technologies in drug development

Targets

Most frequently developed targets

Disease Domain	Count

Neoplasms	1

Top 5 Drug Type	Count

CAR-T	1

Top 5 Target	Count

CD19(B-lymphocyte antigen CD19)	1

This prospective descriptive study is effect of simple simulator-based training on initial performance of novices in ultrasound-guided adductor canal block. The main question is Can we improve performance on simple simultor-based training ultrasound-guide adductor canal block?. We evaluate in First-year residents in Anesthesiology, Faculty of medicine, PSU.

Start Date01 Jun 2024

Sponsor / Collaborator

Prince of Songkla University

100 Clinical Results associated with Prince of Songkla University

Login to view more data

0 Patents (Medical) associated with Prince of Songkla University

Login to view more data

18,608

Literatures (Medical) associated with Prince of Songkla University

31 Dec 2025·Cogent Education

A comparative study on the effectiveness of interactive versus non-interactive optic disc photograph training modules for glaucoma diagnosis among ophthalmology residents

Author: Ratanawongphaibul, Kitiya ; Kasemsup, Tharnsook ; Pathanapitoon, Kessara ; Manassakorn, Anita ; Tanjirawatana, Thanatcha ; Tantisevi, Visanee ; Rojanapongpun, Prin ; Itthipanichpong, Rath ; Kiddee, Weerawat ; Chansangpetch, Sunee ; Rojananuangnit, Kulawan

31 Dec 2025·Annals of Medicine

Bleeding risk and prediction model to predict bleeding risk of tissue biopsy for definitive diagnosis in patients with suspected amyloidosis

Article

Author: Uraiwan, Watsamon ; Saelue, Pirun

INTRODUCTIONBleeding from the affected organs is a common manifestation of amyloidosis. The risk for perioperative bleeding in patients with amyloidosis remains controversial. In this study, we aimed to compare the bleeding risk of tissue biopsies for a definitive diagnosis between patients with and without amyloidosis, identify risk factors, and generate a prediction model for bleeding risk in these patients.METHODSWe enrolled patients aged >15 years who had amyloidosis as part of their differential diagnosis before tissue biopsy. After obtaining histopathological reports, we randomly selected patients with and without amyloidosis at a ratio of 4:1.RESULTSA total of 360 patients were enrolled before tissue biopsy. Bleeding complications were observed in 5.6% and 4.2% of patients with and without amyloidosis, respectively. Amyloidosis was not associated with an increased perioperative bleeding risk (adjusted odds ratio 1.19; 95% confidence interval 0.17-8.41, p = 0.859). Kidney biopsy was a significant risk factor for perioperative bleeding in tissue biopsies. A KiHPL model was generated to predict the bleeding risk. The area under the curve was 0.87, with a good calibration plot for this model.CONCLUSIONSAmyloidosis is not associated with an increased risk of bleeding in tissue biopsies. The KiHPL model can predict the bleeding risk of tissue biopsies for a definitive diagnosis in patients with suspected amyloidosis.

01 Dec 2025·Nano-Micro Letters

A Fully-Printed Wearable Bandage-Based Electrochemical Sensor with pH Correction for Wound Infection Monitoring

Article

Author: Mittraparp-Arthorn, Pimonsri ; Jeerapan, Itthipon ; Jantapaso, Husanai ; Veenuttranon, Kornautchaya ; Kaewpradub, Kanyawee

AbstractWearable sensing systems have been designed to monitor health conditions in real-time by detecting analytes in human biofluids. Wound diagnosis remains challenging, necessitating suitable materials for high-performance wearable sensors to offer prompt feedback. Existing devices have limitations in measuring pH and the concentration of pH-dependent electroactive species simultaneously, which is crucial for obtaining a comprehensive understanding of wound status and optimizing biosensors. Therefore, improving materials and analysis system accuracy is essential. This article introduces the first example of a flexible array capable of detecting pyocyanin, a bacterial virulence factor, while correcting dynamic pH fluctuations. We demonstrate that this combined sensor enhances accuracy by mitigating the impact of pH variability on pyocyanin sensor response. Customized screen-printable inks were developed to enhance analytical performance. The analytical performances of two sensitive sensor systems (i.e., fully-printed porous graphene/multiwalled carbon nanotube (CNT) and polyaniline/CNT composites for pyocyanin and pH sensors) are evaluated. Partial least square regression is employed to analyze nonzero-order data arrays from square wave voltammetric and potentiometric measurements of pyocyanin and pH sensors to establish a predictive model for pyocyanin concentration in complex fluids. This sensitive and effective strategy shows potential for personalized applications due to its affordability, ease of use, and ability to adjust for dynamic pH changes.

100 Deals associated with Prince of Songkla University

Login to view more data

100 Translational Medicine associated with Prince of Songkla University

Login to view more data

Corporation Tree

Boost your research with our corporation tree data.

login

or

view full example data

Boost your research with our corporation tree data.

Pipeline

Pipeline Snapshot as of 19 Feb 2025

The statistics for drugs in the Pipeline is the current organization and its subsidiaries are counted as organizations,Early Phase 1 is incorporated into Phase 1, Phase 1/2 is incorporated into phase 2, and phase 2/3 is incorporated into phase 3

Preclinical

1

Login to view more data