Latest AI and machine learning research in hematology for healthcare professionals.
Tissue biomanufacturing aims to produce lab-grown stem cell grafts and biomimetic drug testing platforms but remains limited in its ability to recapitulate native tissue mechanics. The emerging field of soft robotics aims to emulate dynamic physiological locomotion, representing an ideal approach to recapitulate physiologically complex mechanical stimuli and enhance patient-specific tissue maturat...
Personalized modeling has long been anticipated to approach precise noninvasive blood glucose measurements, but challenged by limited data for training personal model and its unavoidable outlier predictions. To overcome these long-standing problems, we largely enhanced the training efficiency with the limited personal data by an innovative Deduction Learning (DL), instead of the conventional Induc...
Bone marrow cell morphology has always been an important tool for the diagnosis of blood diseases. Still, it requires years of experience from a suita...
During spaceflight, astronauts can experience significantly higher levels of hemolysis. With future space missions exposing astronauts to longer perio...
BACKGROUND: Atrial fibrillation (AF) is one of the most common cardiac arrhythmia diseases. Thromboembolic prophylaxis plays an essential role in AF t...
Hypertensive patients account for about 16% to 37% of the global population, and about 9.4 million people die each year from hypertension and its comp...
Continuous noninvasive blood glucose monitoring and estimation management by using photoplethysmography (PPG) technology always have a series of probl...
Lymphomas, or cancers of the lymphatic system, account for around half of all blood cancers diagnosed each year. Lymphoma is a condition that is diffi...
Both the ABO and Rhesus (Rh) blood groups play crucial roles in blood transfusion medicine. Herein, we report a simple and low-cost paper-based analyt...
In 2022, endoscopic enucleation of the prostate (EEP) is the treatment of choice for benign prostatic obstruction (BPO) for glands >80 ml and is a val...
BACKGROUND: During robot-assisted partial nephrectomy (RAPN), renal artery clamping is necessary to optimize the surgical field. However, renal artery...
DNA double-strand breaks (DSBs) are the most lethal form of damage to cells from irradiation. γ-H2AX (phosphorylated form of H2AX histone variant) has...
Untethered small robots with multiple functions show considerable potential as next-generation catheter-free systems for biomedical applications. Howe...
The application of artificial intelligence (AI) has provided new capabilities to develop advanced medical monitoring sensors for detection of clinical...
The aim of the study is to build a tongue image intelligent analysis "end-to-end" deep learning network based on a tongue diagnosis image of tradition...
The objective of this study was to evaluate the application value of "Internet + hospital-to-home (H2H)" nutritional care model using the improved wav...
In this study, convolutional neural network based on Gramian angular field (GAF-CNN) was firstly proposed. The 1-D Raman spectral data was converted i...
Peptides comprise a versatile class of biomolecules that present a unique chemical space with diverse physicochemical and structural properties. Some ...
BACKGROUND: Using conventional endoscope to perform endoscopic submucosal dissection (ESD) is difficult because of the one-handed operation and blind ...
Robotic surgery has become widely used in the field of urology. We experienced concurrent robot-assisted radical prostatectomy (RARP) and robot-assist...