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AbstractCommunication poses a challenge for the deaf and hearing loss community. This difficulty is even more pronounced in the families of Children of Deaf Adults (CODAs) and Parents of Deaf Children (PODCs). To help these families overcome this challenge, we design an AI-empowered interactive bi-directional Australian Sign Language (i.e., Auslan) dictionary application to facilitate communication within a household. Technically, our APP can not only look up sign gestures for the given English words but also translate isolated Auslan gestures into English. Through an inviting user interface and experience design, we can further improve engagement within the CODA and PODC families while enabling Auslan education at home. The positive user experience underscores the success of our APP not only in leveraging AI to revolutionise Auslan education but also in promoting cross-generational language acquisition and communication.

Yi Qing,1,* Qing Li,1,* Tao Ren,1 Wei Xia,1 Yu Peng,1 Gao-Lei Liu,2 Hao Luo,1 Yu-Xin Yang,1 Xiao-Yan Dai,1 Shu-Feng Zhou,3 Dong Wang1 1Cancer Center, 2Urological Surgery, Daping Hospital and Research Institute of Surgery, Third Military Medical University, Chongqing, People's Republic of China; 3Department of pharmaceutical Sciences, College of Pharmacy, University of South Florida, Tampa, FL, USA *These authors contributed equally to this work Introduction: Gastric cancer is a fatal malignancy with a rising incidence rate. Effective methods for early diagnosis, monitoring metastasis, and prognosis are currently unavailable for gastric cancer. In this study, we examined the association of programmed death ligand-1 (PD-L1) and apurinic/apyrimidinic endonuclease 1 (APE1) expression with the prognosis of gastric cancer. Methods: The expressions of PD-L1 and APE1 were detected by immunohistochemistry in 107 cases of human gastric carcinoma. The correlation of PD-L1 and APE1 expression with the clinicopathologic features of gastric carcinoma was analyzed by SPSS version 19.0. Results: The positive expression rates of PD-L1 and APE1 in gastric cancer tissues were 50.5% (54/107) and 86.9% (93/107), respectively. PD-L1 and APE1 positive expressions were significantly associated with depth of invasion, lymph node metastasis, pathological type, overall survival, and higher T stage. Furthermore, the expression of PD-L1 in highly differentiated gastric cancers was higher than that in poorly differentiated cancers (P=0.008). Moreover, the expression of APE1 and PD-L1 in gastric cancers was positively correlated (r=0.336, P<0.01). Multivariate analysis showed that the depth of invasion was a significant prognostic factor (risk ratio 19.91; P=0.000), but there was no significant relationship with PD-L1, APE1, prognosis, and other characteristics. Conclusion: The deregulation of PD-L1 and APE1 might contribute to the development and the poor prognosis of gastric cancer. Our findings suggest that high expression of PD-L1 and APE1 is a risk factor of gastric cancer and a new biomarker to predict the prognosis of gastric cancer. Furthermore, our findings suggest that targeting the PD-L1 and APE1 signaling pathways may be a new strategy for cancer immune therapy and targeted therapy for gastric cancer, especially in patients with deep invasion and lymph node metastasis. Keywords: gastric carcinoma, immunohistochemistry, prognostic, potential targets