Advanced 3D bioprinted liver models with human-induced hepatocytes for personalized toxicity screening.

The development of advanced models for assessing liver toxicity and drug responses is crucial for personalized medicine and preclinical drug development. 3D bioprinting technology provides opportunities to create human liver models that are suitable for conducting high-throughput screening for liver toxicity. In this study, we fabricated a humanized liver model using human-induced hepatocytes (hiHeps) derived from human fibroblasts via a rapid and efficient reprogramming process.

Mala flavor preference increases risk of excessive gestational weight gain mediated by high-carbohydrate dietary patterns in Chongqing, China: an ambispective cohort study.

Taste preference drives food selection, acceptance, or rejection and influences nutritional status and body mass index. Nevertheless, there are few reports concerning pregnant women. Mala flavor, characterized by its "numbing" and "spicy" sensations, is a distinctive taste of Sichuan cuisine, created by the combination of Chinese prickly ash and chili peppers.

Unveiling the Intratumor Microbiome in Liver Cancer: Current Insights and Prospective Applications.

The role of the gut microbiome in the development and progression of liver cancer has long been recognized. However, the presence of microbes in tumors that were previously considered sterile has only recently been discovered. The intratumor microbiome in liver cancer likely originates from various sources, including the gut, hematogenous spread from other mucosal locations, adjacent non-cancerous tissues, and co-metastasis with the tumor cells.

Integrated analysis of genetic, proteinic, and metabolomic alterations in Behcet's disease.

Numerous studies have investigated the alterations of genes, proteins, and metabolites in Behcet's disease (BD). By far, little is known about the depiction of panoramic changes underlying this disease. This study purposed to assess the consistently dysregulated genes, proteins, and metabolites in BD across publications using the vote-counting approach.

Real-time motion trajectory training and prediction using reservoir computing for intelligent sensing equipment.

Real-time moving target trajectory prediction is highly valuable in applications such as automatic driving, target tracking, and motion prediction. This paper examines the projection of three-dimensional random motion of an object in space onto a sensing plane as an illustrative example. Historical running trajectory data are used to train a reserve network.