The technology relates to software, systems, and methods for automated medical image segmentation via deep learning. Standard holistically-nested networks (HNNs) used in computer vision and medical imaging for segmentation and edge detection have a problem with coarsening resolution. The described technology addresses this.
Adoptive cell transfer (ACT) uses tumor infiltrating lymphocytes (TILs) that recognize antigens expressed by cancer cells (neoantigens). Neoantigen specific TIL administration in patients has resulted in long-term regression of certain metastatic cancers. However, current procedures for TIL therapy are highly invasive, labor-intensive, and time consuming. The success of these procedures is limited and differs between patients and histologies.
Adoptive cell therapy (ACT) using tumor-specific T cells can produce positive clinical responses in some cancer patients. Nevertheless, several obstacles to the successful use of ACT for the treatment of cancer and other conditions remain. For example, one or more of the in vivo persistence, survival, and antitumor activity of tumor-specific T cells can, in some cases, decrease following adoptive transfer. Accordingly, there is a need for methods of obtaining a robust population of tumor-specific T cells for ACT.
Big data usually means big sample size with many outliers, in which traditional scalable L2-norm principal component analysis (L2-PCA) will fail. Current existing L1-norm PCA (L1-PCA) methods can improve robustness over outliers, however, its scalability is usually limited in either sample size or dimension size. The inventor proposes an online flipping method to solve L1-PCA challenges, which is not only convergent asymptotically (or with big data), but also achieves most efficiency in the sense each sample is visited only once to extract one principal component (PC).
Lung metastases are a sign of widespread cancer with poor survival rate. Lung malignancies can originate from almost any cancer type spread via the blood stream. Most common lung metastases are from melanoma, breast cancer, bladder cancer, colon cancer, prostate cancer, neuroblastoma, and sarcoma. Living more than 5 years with lung metastases is uncommon, and surgical procedures are only effective with localized lung metastases. Lung metastasis are extremely frequent and resistant to regular treatment due to immunosuppressive regulatory sulfatide-reactive type II NKT cells.
Cytokines are a broad category of intercellular signaling proteins that are critical for intercellular communication in human health and disease. However, systematic profiling of cytokine signaling activities has remained challenging due to the short half-lives of cytokines, and the pleiotropic functions and redundancy of cytokine activities within specific cellular contexts.
Griffithsin is a potent anti-viral protein with activity against HIV, HCV, Sars, HSV 1 & 2 and other viruses. It is active against HIV and HCV at picomolar concentrations. Griffithsin is moving into clinical trials as an anti-HIV microbicide. Based on the structure of griffithsin and the necessities of pharmaceutical product development and regulatory approval, certain mutations in the sequence of griffithsin have been generated which could add to the stability and solubility of the protein.
Multiparametric MRI improves image detail and prostate cancer detection rates compared to standard MRI. Computer aided diagnostics (CAD) used in combination with multiparametric MRI images may further improve prostate cancer detection and visualization. The technology, developed by researchers at the National Institutes of Health Clinical Center (NIHCC), is an automated CAD system for use in processing and visualizing prostate lesions on multiparametric MRI images.
Dopamine is a major neurotransmitter in the central nervous system and among other functions is directly related to the rewarding effects of drugs of abuse. Dopamine signaling is mediated by D1, D2, D3, D4 and D5 receptors. The dopamine D3 receptor is a known target to treat a variety of neuropsychiatric disorders, including substance use disorders (e.g. cocaine and opioid), schizophrenia and depression.
The AKT pathway plays a key role in the regulation of cellular survival, apoptosis, and protein translation and has been shown to have prognostic significance in a number of cancers. Recently, the inventors have identified several functions of the AKT pathway in certain cancers, such as extrahepatic cholangiocarcinoma (EHCC).