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The Satellite Hardware-In-the-loop Rendezvous Trajectory (SHIRT) dataset consists of images and pose labels associated with two rendezvous trajectory scenarios (ROE1 and ROE2) in Low Earth Orbit (LEO) created from two different sources.

Researchers in Prof. Paul George's laboratory have patented a conductive polymer scaffold designed to electrically stimulate neural progenitor cells (NPCs) for enhanced neural regeneration.

Stanford scientists have developed cross-reactive antibodies that can bind human and murine NKp46 on NK cells and induce cytotoxicity and proliferation.

The skin cells that line the esophagus are critical for protecting against the friction of food when we swallow. However, they can be damaged by genetic disorders, caustic burns, and surgical resections for cancer treatment.

Stanford researchers in the Kanan Lab have developed a scalable method for achieving verifiable, safe, and permanent carbon removal at relatively low energy demand.

Stanford researchers in the Simon Lab have proposed integrating nonlinear optics within optical resonators in general, and within their small waist resonators in particular.
This approach is feasible because:

SPEED+ is an advanced dataset for vision-based spacecraft pose estimation with specific emphasis on evaluating the robustness of Machine Learning (ML) models across the domain gap.

Type 1 regulatory T cells (Tr1s) are an inducible subtype of regulatory T cells that can play a beneficial (autoimmune diseases, allergy, hematological malignancies) or detrimental role (some solid tumors and infectious diseases) in human diseases. Tr1 cells.

Stanford researchers have developed a novel xeno-free, no purification, robust, quick, low-cost method for generating pure endothelial cell cultures by sequentially inducing mesodermal-lineage cells from pluripotent stem cells, using differentiation stage-specific extracellula

Researchers at Stanford have developed a novel deep-learning-based tool called CytoTRACE2 that interprets single-cell RNA sequencing (scRNA-seq) to enable the discovery of regenerative cells across all tissue types and novel targets in cancer and other diseases.

Researchers at Stanford University have developed a novel 3D printing method, enabling multiple printheads to collaboratively pattern materials from multiple directions, an 'inwards-out' approach that overcomes previous limitations.

Early detection of ovarian cancer is crucial, with a 5-year survival rate exceeding 90%. Once this early window has been missed, the 5-year survival rate precipitously drops below 50%.

Stanford researchers have discovered the first of its kind gene therapy vector to treat eye diseases of the non-pigmented ciliary epithelium cells (NPCECs).

Stanford researchers in Dr. Mahajan's laboratory have discovered biomarkers to differentiate between infectious (endophthalmitis) and non-infectious uveitis; and, to accurately categorize the types of infectious uveitis.

Stanford researchers have developed an innovative AI-driven solution for predicting immunotherapy response in esophagogastric cancer patients.