Robustness of medical image classification models is limited by its exposure to the candidate disease classes. Generalized zero shot learning (GZSL) aims at correctly predicting seen and unseen classes and most current GZSL approaches have focused on the s ...
Dendritic cells (DCs) regulate immune priming by expressing programmed death ligand 1 (PD-L1) and PD-L2, which interact with the inhibitory receptor PD-1 on activated T cells. PD-1 signaling regulates T cell effector functions and limits autoimmunity. Tumo ...
Activin-A is a Transforming Growth Factor-B (TGFB)-related cytokine that regulates various biological processes including cell proliferation and differentiation through autocrine, paracrine or endocrine signaling. Activin-A expression is upregulated in mul ...
The present invention relates generally to the field of anti-cancer therapy, in particular to the use of adoptive T cell transfer therapy for treating cancer, in particular sold tumors. More specifically, the present invention relates to immune cells compr ...
Recent breakthroughs in cancer immunotherapy, exemplified by immune checkpoint blockade and CAR T cell therapy, have achieved remarkable clinical success. However, the majority of cancer patients fail to respond to immunotherapy or suffer from relapse. Nan ...
More than two-thirds of cancer-related deaths are attributable to metastases. In some tumor types metastasis can occur up to 20 years after diagnosis and successful treatment of the primary tumor, a phenomenon termed late recurrence. Metastases arise from ...
Earth rotation around its axis imposes a 24-hour rhythmicity to all life on the planet.
Rather than passively responding to these periodic changes, nature has given us an internal timekeeper, the circadian clock, to anticipate to our advantage the fluctuat ...
Immune checkpoint blockade (ICB) with antibodies has shown durable clinical responses in a wide range of cancer types, but the overall response rate is still limited. Other effective therapeutic modalities to increase the ICB response rates are urgently ne ...
Objectives To evaluate the performance of automatic deep learning (DL) algorithm for size, mass, and volume measurements in predicting prognosis of lung adenocarcinoma (LUAD) and compared with manual measurements. ...
