UT学生的AI工具分析全球癌症护理数据,以帮助各国改善治疗和减少死亡。 A UT student's AI tool analyzes global cancer care data to help countries improve treatment and reduce deaths.

得克萨斯大学学生Milit Patel创建了一个AI系统,分析有关癌症护理的全球数据,包括治疗支出、放射治疗机会、保健覆盖面和经济实力,以确定与提高存活率相关的因素。 A University of Texas student, Milit Patel, has created an AI system that analyzes global data on cancer care, including treatment spending, radiotherapy access, health coverage, and economic strength, to identify factors linked to better survival rates. 该工具在奥斯汀开发,向各国提供数据驱动的见解,以改进癌症政策和降低死亡率。 The tool, developed in Austin, provides countries with data-driven insights to improve cancer policies and reduce mortality. 它旨在帮助全世界保健系统优化资源,支持更广泛的防治癌症工作。 It aims to help healthcare systems worldwide optimize resources, supporting broader efforts to combat cancer.