Results 161 to 170 of about 929,810 (294)
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Standing up for Medical Microbiology. [PDF]
Joshi LT, Inglis TJJ.
europepmc +1 more source
Spaceflight and Medical Microbiology: Possible Implications for Standard Infection Diagnostics and Therapy. [PDF]
Boschert AL +5 more
europepmc +1 more source
Proteomics of Brucella: Technologies and Their Applications for Basic Research and Medical Microbiology. [PDF]
Wareth G +3 more
europepmc +1 more source
ABSTRACT Patients with relapsed/refractory multiple myeloma (RRMM) who are penta‐drug refractory, defined as resistant to two proteasome inhibitors, two immunomodulatory agents, and an anti‐CD38 monoclonal antibody, face a dismal prognosis, particularly after exposure to T‐cell–redirecting therapies.
Maximilian Al‐Bazaz +22 more
wiley +1 more source
Transformative potential of artificial intelligence in medical microbiology education. [PDF]
Rathod SS +5 more
europepmc +1 more source
Natural History of Chronic Kidney Disease in Sickle Cell Disease
ABSTRACT Kidney complications, referred to as nephropathy, develop early in sickle cell disease (SCD). In addition to its known morbidity, abundant data show that chronic kidney disease (CKD) is associated with an increased mortality risk in SCD. Increasing evidence suggests that the natural history of SCD nephropathy is progressive. Initial glomerular
Kenneth I. Ataga
wiley +1 more source

