Dr. Qi Long's lab at the University of Pennsylvania focuses on developing artificial intelligence systems that can provide trustworthy and explainable support for clinical decision-making in healthcare. The primary goal is to improve treatment selection for patients with conditions like non-small cell lung cancer and sepsis by creating models that integrate complex medical data with clinician insights. This innovative research seeks to empower physicians with actionable and reliable explanations for AI-driven recommendations, enhancing both patient care and trust in technology.

Dr. Kevin B. Johnson's lab focuses on leveraging artificial intelligence to enhance the efficiency of clinical documentation in healthcare. The team's research aims to reduce the burden of documentation on clinicians by developing algorithms that can automate the process of summarizing patient-clinician encounters. This innovative work aims to improve healthcare delivery while addressing clinician burnout and enhancing the overall quality of patient care.

Li Shen's research lab focuses on using innovative data analytic techniques to help find new treatments for Alzheimer's disease. By leveraging advanced machine learning and bioinformatics approaches, the lab aims to analyze large-scale medical data to identify promising drug candidates for repurposing. This work has the potential to improve our understanding of Alzheimer's and contribute to better clinical outcomes for affected individuals.

Dr. Michael Harhay's research lab focuses on improving the design and analysis of clinical trials for acute respiratory distress syndrome (ARDS), a serious condition that leads to respiratory failure. The lab employs advanced statistical methods, specifically Bayesian causal inference and machine learning, to evaluate data from numerous clinical trials. By reanalyzing existing data, the lab aims to uncover valuable insights that traditional methods may miss, ultimately helping to identify effective treatments for ARDS and understand which patient groups may benefit the most.

Dr. Aimin Chen's lab at the University of Pennsylvania focuses on the impact of environmental toxicants, such as pesticides and heavy metals, on the cognitive health of both children and adults. The research aims to understand how exposure to these substances during critical developmental periods may lead to diseases like Alzheimer's and impact children's behavior and brain development. By analyzing extensive longitudinal studies and employing advanced statistical methods, the lab seeks to uncover the biological mechanisms behind these effects and address disparities in health outcomes related to race and social factors.

Dr. Elizabeth Nesoff's lab focuses on understanding how urban infrastructure improvements can help reduce opioid misuse and overdose in communities. They investigate the relationship between neighborhood conditions, like the presence of blight, and health outcomes related to opioids. By studying the effects of community-led projects aimed at remediating problem areas, the lab aims to provide insights into better public health policies and interventions.

Dr. Russell Takeshi Shinohara's lab focuses on developing advanced statistical methods for analyzing brain imaging data. With the rapid increase of multi-site neuroimaging studies, the lab aims to harmonize data from various sources to improve the accuracy and reliability of brain research. The team's work is particularly relevant for creating diagnostic tools for mental health conditions and understanding the relationships between different imaging modalities.

Dr. Jinbo Chen's lab focuses on improving how we identify patients who have diseases but haven't yet been diagnosed. Using electronic health records, or EHRs, the lab develops sophisticated statistical and machine learning methods to uncover under-diagnosed conditions like Primary Aldosteronism and Familial Hypercholesterolemia. The aim is to ensure better health care access and outcomes by understanding and addressing disparities in disease diagnosis.

Dr. Charles Edward Leonard's research lab focuses on understanding how psychoactive drugs can interact harmfully with one another, particularly among older adults who often take multiple medications. By investigating these interactions, the lab aims to uncover serious risks such as venous thromboembolism and bleeding, which can lead to hospitalizations or death. The research is crucial for improving medication safety and public health outcomes in individuals with mental health disorders.

Dr. Yong Chen's lab at the University of Pennsylvania focuses on developing innovative data integration methods to improve the prediction and diagnosis of multi-system diseases, particularly using electronic health records. By creating advanced algorithms, his research aims to facilitate efficient data sharing among healthcare providers, ultimately leading to earlier and more accurate diagnoses. The lab also explores phenotyping in Alzheimer's disease, working to standardize definitions and reduce bias in observational data.

Dr. Mingyao Li's lab focuses on understanding the complex organization of tissues by combining techniques from biostatistics and machine learning. The lab specifically works on integrating spatial transcriptomics, which maps gene expression in tissues, with histology images and single-cell data. This innovative approach aims to improve our understanding of how different cells interact within their environment, which is crucial for studying diseases.