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Pu Zhang

Researcher at Peking University

Publications -  7
Citations -  65

Pu Zhang is an academic researcher from Peking University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 1, co-authored 2 publications receiving 1 citations.

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Albumin Binder-Conjugated Fibroblast Activation Protein Inhibitor Radiopharmaceuticals for Cancer Therapy.

TL;DR: Wang et al. as discussed by the authors developed two albumin binder-conjugated FAP-based radiotracers, TEFAPI-06 and TEF API-07, which are derived from FAPI-04, and optimized by conjugating two types of well-studied albumin binders, 4-(p-iodophenyl) butyric acid moiety (TEFAPI) and truncated Evans blue moiety, to try to overcome the above limitations at the expense of prolonging the blood circulation.
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Fatty acid-conjugated radiopharmaceuticals for fibroblast activation protein-targeted radiotherapy

TL;DR: Wang et al. as discussed by the authors tried to conjugate albumin-binding moiety to FAPI molecule for prolonged circulation that may increase the accumulation and retention of radiopharmaceuticals in tumor.
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86Y-Labeled Albumin-Binding Fibroblast Activation Protein Inhibitor for Late-Time-Point Cancer Diagnosis.

TL;DR: The enhanced circulation half-life and tumor uptake of TE-FAPI-04 aided the theranostics of malignant tumors and warrant further clinical investigations.
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Quantifying the Aboveground Biomass (AGB) of Gobi Desert Shrub Communities in Northwestern China Based on Unmanned Aerial Vehicle (UAV) RGB Images

TL;DR: Zhang et al. as discussed by the authors used RGB vegetation indices (RGB VIs) to extract the vegetation coverage, and found that the excess green index (EXG) had the highest accuracy and the overall extraction accuracy of vegetation coverage reached 97.00%.
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Simulation model of vegetation dynamics by combining static and dynamic data using the gated recurrent unit neural network-based method

TL;DR: In this paper , a gated recurrent unit (GRU) based simulation model of vegetation dynamics is proposed to detect the time-order characteristics of dynamic factors by comprehensively considering the static information that affects vegetation changes.