Learn about the latest medical breakthroughs by participating in webinars on topics surrounding disease, prevention and treatment in accordance with the latest research in health and medicine. Updates encompass a biological, psychological and sociological understanding of health.
Breast cancer is the number one cause of cancer in women. Although many risk factors for breast cancer have been identified, only some are modifiable. Since 2004, incidence rates have been r...
Bromodomains (BRDs) are evolutionarily conserved protein domains that interact with acetylated histones and set off a chain of events that includes recruiting transcription factors and other...
Successful cancer patient advocacy has many components. Patients and survivors are in the best position to tell their stories and advocate for better care and treatment. However, with few su...
Mathematical methods can be used to study evolutionary processes associated with carcinogenesis. Selection, mutation, and drift all play a role in cancer dynamics and cancer treatment. I wil...
Gene regulatory networks are representations of the relationship between transcription factors and their target genes. By modeling gene regulatory networks, it is possible to identify change...
Uterine leiomyosarcoma (uLMS) is a rare aggressive sarcoma of the smooth muscle layer of the uterus manifested in high local recurrence and metastatic rate. Currently, effective treatment of...
Reliable expression of recombinant proteins in human, CHO, or insect cells is essential for many aspects of biomedical research and drug development, but is often hampered by low expression...
Jeff Borgia, Ph.D. is the Director of the Rush Cancer Center Biorepository, where he oversees the collection and annotation of patient specimens in support of ongoing translational research...
Date: October 05, 2022 Time: 11:00am (PDT), 2:00pm (EDT), 8:00pm (CEST) The effects of fiber in health and disease is an active subject of research in a range of research areas. Historically...
Learning Objectives: 1. Classify the obstacles to successful manufacturing of antigen-specific T-cells in immunotherapy. 2. Highlight the effects of CD45RA+ subsets in expansion of antigen-s...
Learning Objectives 1. Identify 3 obstacles that inhibit the immune cell response to cancer. 2. List 3 aspects of T cells antitumor function that can be improved with costimulatory signals....
Key to precision oncology is the development of expert databases that organize and standardize information on cancer-related genetic variants, as well as their associated diagnostic, prognos...
The microenvironment of many solid tumors impedes many immunotherapeutic treatments by inhibiting the effector functions of many classes of anti-tumor immune cells, including effector T cell...
The ultimate promise of tumor immunotherapy is dependent on the generation of effective immunity against cancer, including CD4 and CD8 T cell responses. However, activating T cells in cancer...
There are currently several different FDA approved radiopharmaceuticals being used in both large academic and small practice settings to accurately stage and identify local and metastatic pr...
Despite the immense promise of cancer immunotherapies, significant challenges have been mounting to overcome treatment resistance and to improve efficacy. Strategies such as the combination...
Antibody-based cancer therapies have clear advantages over chemotherapeutic drugs thanks to their high specificity and low risk of side effects. However, it can be difficult to identify targ...
Human solid tumors, like breast cancers, represent a heterogeneous group of diseases that is best demonstrated through many differences in clinical outcomes within homogenously treated patie...
Molecular diagnostic tests are currently used for infectious disease testing due to the superior sensitivity and specificity that can be obtained. Due to the success that has been obtained w...
Racial and ethnic minorities often experience cancer disparities in the United States with higher disease prevalence, shorter survival, and higher death rates with many cancer types. These d...
Technological advances in Artificial Intelligence (AI), particularly deep learning, have demonstrated remarkable progress in image-recognition tasks. Methods ranging from convolutional neura...
Date: October 04, 2022 Time: 9:00am (PDT), 12:00pm (EDT), 6:00pm (CEST) The Miro Canvas is a new platform which enables full walkaway automation of complex next generation sequencing (NGS) s...
Tumors invade surrounding tissue as cancer progresses, but the heterogeneity of cell types at the tumor-stroma interface and the complexity of their interactions has hampered mechanistic ins...
The majority of disease-associated genetic variants are thought to have regulatory effects, including disruption of transcription factor (TF) binding and alteration of downstream gene expres...
Artificial Intelligence (AI) is a computer program designed to perform operations typical of human intelligence, such as self-learning. AI is taking over different fields in science; we alre...
The increasing quantity and quality of spatially resolved omics data provide a unique opportunity to explore the complex molecular mechanisms that take place in biological systems. However,...
There are known outcome disparities between Black and White patients with pancreatic neuroendocrine tumors (pNETs). Multiple retrospective series have found that Black patients have more adv...