Reusable specimen-level inference in computational pathology.

Foundation models for computational pathology have shown great promise for specimen-level tasks and are increasingly accessible to researchers. However, specimen-level models built on these foundation models remain largely unavailable, hindering their broader utility and impact. To address this gap, we developed SpinPath, a toolkit designed to democratize specimen-level deep learning by providing a zoo of pretrained specimen-level models, a Python-based inference engine, and a JavaScript-based inference platform.

An Analysis of Honeybee Population Dynamics.

Colony Collapse disorder (the CCD) is the term used to describe the global decline in bee populations. The research mission of this article is to identify which factors contribute to the CCD and understand how these factors contribute to the decline of bee populations, which may provide methods for restoring global bee populations. Two parts of the study will be mentioned in this article.

Detecting schizophrenia with 3D structural brain MRI using deep learning.

Schizophrenia is a chronic neuropsychiatric disorder that causes distinct structural alterations within the brain. We hypothesize that deep learning applied to a structural neuroimaging dataset could detect disease-related alteration and improve classification and diagnostic accuracy. We tested this hypothesis using a single, widely available, and conventional T1-weighted MRI scan, from which we extracted the 3D whole-brain structure using standard post-processing methods.

Mitigating Lithium Dissolution and Polysulfide Shuttle Effect Phenomena Using a Polymer Composite Layer Coating on the Anode in Lithium-Sulfur Batteries.

To mitigate lithium dissolution and polysulfide shuttle effect phenomena in high-energy lithium sulfur batteries (LISBs), a conductive, flexible, and easily modified polymer composite layer was applied on the anode. The polymer composite layer included polyaniline and functionalized graphite. The electrochemical behavior of LISBs was studied by galvanostatic charge/discharge tests from 1.

Effects of the enhanced public health intervention during the COVID-19 epidemic on respiratory and gastrointestinal infectious diseases in China.

The public health interventions to mitigate coronavirus disease 2019 (COVID-19) could also potentially reduce the global activity of influenza. However, this strategy's impact on other common infectious diseases is unknown. We collected data of 10 respiratory infectious (RI) diseases, influenza-like illnesses (ILIs), and seven gastrointestinal infectious (GI) diseases during 2015-2020 in China and applied two proportional tests to check the differences in the yearly incidence and mortality, and case-fatality rates (CFRs) over the years 2015-2020.

Biomaterials and nanomedicine for bone regeneration: Progress and future prospects.

Bone defects pose a heavy burden on patients, orthopedic surgeons, and public health resources. Various pathological conditions cause bone defects including trauma, tumors, inflammation, osteoporosis, and so forth. Auto- and allograft transplantation have been developed as the most commonly used clinic treatment methods, among which autologous bone grafts are the golden standard.

The paradoxical problem with COVID-19 ocular infection: Moderate clinical manifestation and potential infection risk.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which induced mainly the respiratory damage also caused ocular surface symptoms. However, the detailed description of ocular manifestations, severity fluctuations in confirmed COVID-19 adult patients still lacked. We analyzed onset clinical symptoms and duration, ocular symptoms, needs for medication, outcomes in 28 conjunctivitis patients who were extracted from 3198 COVID-19 patients hospitalized in Huoshenshan Hospital and Taikangtongji Hospital, Wuhan, China.

Stimuli-responsive prodrug-based cancer nanomedicine.

The rapid development of nanotechnology results in the emergence of nanomedicines, but the effective delivery of drugs to tumor sites remains a great challenge. Prodrug-based cancer nanomedicines thus emerged due to their unique advantages, including high drug load efficiency, reduced side effects, efficient targeting, and real-time controllability. A distinctive characteristic of prodrug-based nanomedicines is that they need to be activated by a stimulus or multi-stimulus to produce an anti-tumor effect.

Quizartinib (AC220) reverses ABCG2-mediated multidrug resistance: and studies.

Previous reports have shown that some tyrosine kinase inhibitors (TKIs) could inhibit the ATP-binding cassette (ABC) transporters involved in multidrug resistance (MDR). Quizartinib (AC220), a potent class III receptor tyrosine kinase inhibitor (TKI), was synthesized to selectively inhibit FMS-like tyrosine kinase-3 (FLT3), a target in the treatment of acute myeloid leukemia (AML). Quizartinib is currently under clinical trials for ITD and wild-type AML and is tested in combination with chemotherapy.

Effectiveness of X-ray computed microtomography to determine structure-property relationships of Gutta-percha.

We have shown that Computed Microtomography (CMT) is able to map the internal distribution of the filler particles in ProTaper, Lexicon, and GuttaCore materials, and explain the differences in their tensile and ductility properties, prior to mechanical manipulation. Working of uncrosslinked ProTaper and Lexicon samples resulted in a five-fold increase in ductility and the tensile elongation at break. CMT mapping of the internal structure showed that large, periodic, striations formed across the interior of the sample corresponding to the formation of regions with low filler particle density.