Cancer is one of the major health issues in Thailand, particularly as the country enters an aging society. The risk of chronic diseases among the elderly often results in limitations in treatment, making it difficult for most patients to achieve a complete recovery. This necessitates continuous care and the provision of accurate information and guidance about cancer. However, current health record systems for patients lack effective interconnectivity, which hinders data analysis and the development of patient care models. Additionally, incorrect information about cancer spread across social media can lead to misunderstandings among elderly patients. To address these issues, researchers have developed a chatbot system that utilizes Natural Language Processing (NLP) technology to understand human language and accurately respond to questions about elderly cancer patient care. The chatbot provides reliable and up-to-date information based on medical knowledge sourced from a database reviewed by healthcare professionals. Furthermore, a web application has been developed to record and analyze patient assessments according to medical standards, enabling healthcare providers to plan and develop appropriate treatment approaches in a better way. This system also facilitates data sharing and connectivity across hospital systems, allowing information to be used to enhance the precision and modernity of treatment approaches. In addition, the chatbot acts as an assistant, providing information and guidance to patients, reducing the workload of healthcare staff in answering questions and encouraging patients to take a more active role in managing their own health.
โรคมะเร็งเป็นหนึ่งในสาเหตุสำคัญของการเจ็บป่วยและการเสียชีวิตของประชากรทั่วโลก องค์กรอนามัยโลก (World Health Organization; WHO) ระบุว่าในปี 2022 มีผู้ป่วยมะเร็งรายใหม่ประมาณ 20 ล้านคน และคาดว่าในปี 2050 จะมีผู้ป่วยมะเร็งรายใหม่เพิ่มเป็น 35 ล้านคนทั่วโลก โดยในประเทศไทยมีผู้ป่วยมะเร็งรายใหม่จำแนกตามระยะ ของโรคและกลุ่มอายุ ซึ่งพบว่าผู้ป่วยโรคมะเร็งที่อยู่ในระยะ ลุกลามส่วนใหญ่อยู่ในกลุ่มผู้สูงอายุร้อยละ 87 และมากกว่า ร้อยละ 50 ของผู้ป่วยโรคมะเร็งทั้งหมด จากสถิติดังกล่าว สามารถสรุปได้ว่า อายุที่เพิ่มขึ้นเป็นปัจจัยเสี่ยงสำคัญที่ส่ง- ผลต่อการเกิดโรคมะเร็ง ทำให้ผู้สูงอายุจึงมีความเสี่ยงสูง กว่ากลุ่มอายุอื่น ๆ และจำเป็นต้องได้รับการดูแลรักษา อย่างใกล้ชิด แต่การรักษาในปัจจุบันพบว่าการบันทึกข้อมูล ในแต่ละโรงพยาบาลของไทยมักไม่เชื่อมโยงกัน ซึ่งนำไปสู่ การวิเคราะห์และการวิจัยที่เป็นไปอย่างล่าช้า นอกจากนี้ ผู้สูงอายุส่วนใหญ่มักพบอุปสรรคในการเข้าถึงข้อมูลที่เกี่ยวข้องกับโรคมะเร็ง โดยเฉพาะข้อมูลจากแหล่งที่ไม่น่าเชื่อถือ ซึ่งอาจทำให้เกิดการเข้าใจผิดเกี่ยวกับโรคและวิธีการรักษา ดังนั้นผู้วิจัยจึงพัฒนาระบบแชทบอทและเว็บแอปพลิเคชัน เพื่อช่วยในการเข้าถึงบริการด้านสุขภาพของผู้ป่วยสูงอายุ และอำนวยความสะดวกให้แก่บุคลากรทางการแพทย์
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
The concept for this work came from my curiosity about what would happen if, during interdimensional travel in space, a teleportation system were used. This system involves removing matter from one point and transferring it to another while maintaining its original state. If an error occurs and the matter is recreated or fused together, it could result in an experimental creature merging with the spacecraft. I choose the tardigrade as the first experimental subject for teleportation because the water bear has already been sent into space and survived. Therefore, I thought that if we were to actually test this teleportation system, the tardigrade would likely be one of the creatures chosen for experimentation.
คณะแพทยศาสตร์
Background: The RGL3 gene plays a role in key signal transduction pathways and has been implicated in hypertension risk through the identification of a copy number variant deletion in exon 6. Genome-wide association studies have highlighted RGL3 as associated with hypertension, providing insights into the genetic underpinnings of the condition and its protective effects on cardiovascular health. Despite these findings, there is a lack of data that confirms the precise role of RGL3 in hypertension. Additionally, the functional impact of certain variants, particularly those classified as variants of uncertain significance, remains poorly understood. Objectives: This study aims to analyze alterations in the RGL3 protein structure caused by mutations and validate the location of the ligand binding sites. Methods: Clinical variants of the RGL3 gene were obtained from NCBI ClinVar. Variants of uncertain significance and likely benign were analyzed. Multiple sequence alignment was conducted using BioEdit v7.7.1. AlphaFold 2 predicted the wild-type and mutant 3D structures, followed by quality assessment via PROCHECK. Functional domain analysis of RasGEF, RASGEF_NTER, and RA domains was performed, and BIOVIA Discovery Studio Visualizer 2024 was used to evaluate structural and physicochemical changes. Results: The analysis of 81 RGL3 variants identified 5 likely benign and 76 variants of uncertain significance (VUS), all of which were missense mutations. Structural modeling using AlphaFold 2 revealed three key domains: RasGEF_NTER, RasGEF, and RA, where mutations induced conformational changes. Ramachandran plot validation confirmed 79.7% of residues in favored regions, indicating an overall reliable structure. Moreover, mutations within RasGEF and RA domains altered polarity, charge, and stability, suggesting potential functional disruptions. These findings provide insight into the structural consequences of RGL3 mutations, contributing to further functional assessments. Discussion & Conclusion: The identified RGL3 mutations induced physicochemical alterations in key domains, affecting charge, polarity, hydrophobicity, and flexibility. These changes likely disrupt interactions with Ras-like GTPases, impairing GDP-GTP exchange and cellular signaling. Structural analysis highlighted mutations in RasGEF and RA domains that may interfere with activation states, potentially affecting protein function and stability. These findings suggest that mutations in RGL3 could have functional consequences, emphasizing the need for further molecular and functional studies to explore their pathogenic potential.
วิทยาลัยนวัตกรรมการผลิตขั้นสูง
The objective of this research is to utilize waste slag in industrial applications and help mitigate flooding, water accumulation, and ponding issues. Currently, slag from the steel smelting or refining process is commonly used as a component in construction materials, such as road surfaces. However, slag has properties that make it difficult for water to permeate, leading to poor drainage and increased flooding problems. This study focuses on improving the properties of pavement materials to enhance their strength and water permeability. This can be achieved through physical structural modifications or the addition of chemical agents such as HPMC, which increases void spaces to facilitate water absorption and drainage according to required standards. The utilization of waste slag not only helps reduce production costs and improve material performance but also minimizes environmental impacts and promotes the sustainable use of resources.