Notes

AOP and also IATA put on ocular floor toxicity.
The CycleGAN with perceptual loss outperformed the U-net in terms of errors and similarities between sCT and dCT, and dose estimation for treatment planning of thorax, and abdomen. The sCT generated using CycleGAN produced virtually identical dose distribution maps and dose-volume histograms compared to dCT. CycleGAN with perceptual loss outperformed U-net in sCT generation when trained with weakly paired dCT-MRI for MRgRT. The proposed method will be useful to increase the treatment accuracy of MR-only or MR-guided adaptive radiotherapy.
The online version contains supplementary material available at 10.1007/s13534-021-00195-8.
The online version contains supplementary material available at 10.1007/s13534-021-00195-8.The automatic detection of a heartbeat is commonly performed by detecting the QRS complex in the electrocardiogram (ECG), however, various noise sources and missing data can jeopardize the reliability of the ECG. Therefore, there is a growing interest in combining the information from many physiological signals to accurately detect heartbeats. To this end, hidden Markov models (HMMs) are used in this work to jointly exploit the information from ECG, arterial blood pressure (ABP) and pulmonary arterial pressure (PAP) signals in order to conceive a heartbeat detector. After preprocessing the physiological signals, a sliding window is used to extract an observation sequence to be passed through two HMMs (previously trained on a training dataset) in order to obtain the log-likelihoods of observation and signals a detection if the difference of log-likelihoods exceeds an adaptive threshold. Several HMM-based heartbeat detectors were conceived to exploit the information from the ECG, ABP and PAP signals from the MIT-BIH Arrhythmia, PhysioNet Computing in Cardiology Challenge 2014, and MGH/MF Waveform databases. A grid search methodology was used to optimize the duration of the observation sequence and a multiplicative factor to form the adaptive threshold. Using the optimal parameters found on a training database through 10-fold cross-validation, sensitivity and positive predictivity above 99% were obtained on the MIT-BIH Arrhythmia and PhysioNet Computing in Cardiology Challenge 2014 databases, while they are above 95% in the MGH/MF waveform database using ECG and ABP signals. Our detector approach showed detection performances comparable with the literature in the three databases.
The online version contains supplementary material available at 10.1007/s13534-021-00192-x.
The online version contains supplementary material available at 10.1007/s13534-021-00192-x.A novel approach of preprocessing EEG signals by generating spectrum image for effective Convolutional Neural Network (CNN) based classification for Motor Imaginary (MI) recognition is proposed. The approach involves extracting the Variational Mode Decomposition (VMD) modes of EEG signals, from which the Short Time Fourier Transform (STFT) of all the modes are arranged to form EEG spectrum images. The EEG spectrum images generated are provided as input image to CNN. The two generic CNN architectures for MI classification (EEGNet and DeepConvNet) and the architectures for pattern recognition (AlexNet and LeNet) are used in this study. Among the four architectures, EEGNet provides average accuracies of 91.37%, 94.41%, 85.67% and 90.21% for the four datasets used to validate the proposed approach. Consistently better results in comparison with results in recent literature demonstrate that the EEG spectrum image generation using VMD-STFT is a promising method for the time frequency analysis of EEG signals.The CRISPR-based genome editing technology has opened extremely useful strategies in biological research and clinical therapeutics, thus attracting great attention with tremendous progress in the past decade. Despite its robust potential in personalized and precision medicine, the CRISPR-based gene editing has been limited by inefficient in vivo delivery to the target cells and by safety concerns of viral vectors for clinical setting. In this review, recent advances in tailored nanoparticles as a means of non-viral delivery vector for CRISPR/Cas systems are thoroughly discussed. Unique characteristics of the nanoparticles including controllable size, surface tunability, and low immune response lead considerable potential of CRISPR-based gene editing as a translational medicine. We will present an overall view on essential elements in CRISPR/Cas systems and the nanoparticle-based delivery carriers including advantages and challenges. Perspectives to advance the current limitations are also discussed toward bench-to-bedside translation in engineering aspects.A major challenge in treating neurogenerative diseases is delivering drugs across the blood-brain barrier (BBB). In this review, we summarized the development of liposome-based drug delivery system with enhanced BBB penetration for efficient brain drug delivery. We focused on the liposome-based therapeutics targeting Alzheimer's disease and Parkinson's disease because they are most common types of adult chronic neurodegenerative disorders. A variety of liposome with surface modification of BBB-targeting ligands have been created to cross the BBB via transcytosis to the therapeutic efficacy of Alzheimer's disease and Parkinson's disease drugs. Recent advances in liposome are providing alternatives to overcome BBB for more efficient therapeutic strategy. To improve the BBB penetration of liposomes, we need to completely understand the pathophysiological changes at the BBB.Cell-based cancer immunotherapy is mainly performed to re-stimulate or boost the anti-tumor immunity by leveraging the anti-tumoral functions of infused cells. Although conventional adoptive cell therapy with T cells and DC vaccines had potentiated the use of ex vivo engineered cells for cancer immunotherapy, these approaches had a low success rate and some off-target side effects. Recent developments on this intervention are adopting nanoengineering to overcome limitations imposed by the environment the therapeutic cells would be in and the natural characteristics of the cells; thus, enhancing the efficacy of therapies. For this purpose, T cells, NK cells, DCs, and macrophages are engineered to either maintain anti-tumoral phenotypes, target tumor efficiently, or improve the innate functionalities and viability.Hybrid systems of nanoparticles and polymers have emerged as a new material in the biomedical field. To date, various kinds of hybrid systems have been introduced and applied to drug delivery, regenerative medicine, therapeutics, disease diagnosis, and medical implantation. Among them, the hybridization of nanostructured porous silicon nanoparticles (pSiNPs) and biocompatible polymers has been highlighted due to its unique biological and physicochemical properties. ALK inhibitor review This review focuses on the recent advances in the hybrid systems of pSiNPs and biocompatible polymers from an engineering aspect and its biomedical applications. Representative hybrid formulations, (i) Polymer-coated pSiNPs, (ii) pSiNPs-embedded polymeric nanofibers, are outlined along with their preparation methods, biomedical applications, and future perspectives. We believe this review provides insight into a new hybrid system of pSiNPs and biocompatible polymers as a promising nano-platform for further biomedical applications. Recently developed and representative hybrid systems of porous silicon nanoparticles and biocompatible polymers and their biomedical applications are introduced.Neuromodulation, as a fast-growing technique in neuroscience, has been a great tool in investigation of the neural pathways and treatments for various neurological disorders. However, the limitations such as constricted penetration depth, low temporal resolution and low spatial resolution hindered the development and clinical application of this technique. Nanotechnology, which refers to the technology that deals with dimension under 100 nm, has greatly influenced the direction of scientific researches within recent years. With the recent advancements in nanotechnology, much attention is being given at applying nanomaterials to address the limitations of the current available techniques in the field of biomedical science including neuromodulation. This mini-review aims to introduce the current state-of-the-art stimuli-responsive nanomaterials used for assisting thermally induced neuromodulation.Buccal mucosa graft (BMG) was originally described in 1992 for the treatment of challenging cases of hypospadias (proximal or redo cases) and has gained increasingly popularity also when dealing with complicated urethral stenosis, as it is associated with a good outcome. The development of a malignancy in a BMG urethroplasty was reported for the first time in 2017. We report two more cases of a malignant degeneration of a BMG used in a urethroplasty to treat recurrent urethral stricture.Systemic lupus erythematosus is a systemic autoimmune disease, with presentations that vary within a population and across the lifespan of an individual. The disease afflicts childbearing women more than men and uncommonly presents in the geriatric population. Lupus pneumonitis is rare, with a reported incidence of 1-4%. Herein, we discuss the case report of an elderly gentleman with biopsy-proven acute lupus pneumonitis (ALP) as an initial presentation of lupus. After starting high-dose steroids, the patient initially improved, though unfortunately endured a non-ST elevation myocardial infarction and recurrent gastrointestinal bleeding. Despite multiple interventions and a prolonged hospital course, his gastrointestinal bleeding persisted. He elected to go on home hospice and ultimately passed away due to ongoing gastrointestinal bleeding. As with our patient, elderly patients can pose a diagnostic dilemma with regard to late-onset lupus; multiple comorbidities and growing evidence that late-onset lupus may manifest with distinct clinical patterns from younger cohorts complicate diagnosis in these patients. It is critical to maintain a broad differential, which includes unusual rheumatic manifestations when management of common comorbidities fails to alleviate symptoms for an elderly patient. Failure to do so may result in delayed diagnosis of rheumatic disease and increased side effects related to treatment. Additionally, this case serves as a reminder that due to the complexity of rheumatic disease and the additional challenge of older patients with baseline comorbidities, sometimes palliative care options may be appropriate.Dermoid cysts account for only a small fraction of intracranial masses, with extradural dermoid cysts being considered a much rarer entity than those located intradurally. Intracranial dermoid cysts vary in clinical presentations some maybe asymptomatic whilst others harbor features of raised intracranial pressure, neurological deficits, or even aseptic meningitis. Dermoid cysts may also present with cutaneous lesions. Herein, we report a rare case of a 1-year-old female presenting with a midline, scalp abscess. Brain MRI revealed an intracranial, extradural tumor, with features suggestive of a dermoid cyst, unusually located in the crista galli, and complicated by the formation of two cutaneous sinus tracts. After identification and characterization by MRI, bitemporal craniotomy was performed with complete excision of the mass and sinus tracts. Histological analysis confirmed dermoid cyst as the final diagnosis. Postoperatively, the patient recovered fully and had no evidence of recurrence in subsequent visits.
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