LightweightUNet: Multimodal Deep Learning with GAN-Augmented Imaging Data for Efficient Breast Cancer Detection.

Breast cancer ranks as the second most prevalent cancer globally and is the most frequently diagnosed cancer among women; therefore, early, automated, and precise detection is essential. Most AI-based techniques for breast cancer detection are complex and have high computational costs. Hence, to overcome this challenge, we have presented the innovative LightweightUNet hybrid deep learning (DL) classifier for the accurate classification of breast cancer.

Efficacy of repetitive transcranial magnetic stimulation for phantom limb pain- a meta analysis of randomized controlled trials.

Introduction: Phantom limb pain (PLP) is a neuropathic syndrome experienced by the majority of amputees. Various treatment options are available for amputees suffering from PLP including pharmacological, psychological and neuromodulation techniques. Repetitive transcranial magnetic stimulation (rTMS) is a non-invasive neuromodulation technique that has proven its efficacy in alleviating PLP.

SARS-CoV-2 IgG antibodies in COVID-19 convalescent plasma and conventional plasma units.

Background: The Association for the Advancement of Blood and Biotherapies guidelines recommend the use of high-titer COVID-19 convalescent plasma (CCP) for patients with SARS-CoV-2 at high risk of disease progression, including those who are immunocompromised. We hypothesized that conventional plasma units have comparable neutralizing antibody levels to CCP.

Study Design And Methods: Conventional plasma and CCP units were obtained from blood suppliers.

Methodological Challenges in Randomized Controlled Trials of mHealth Interventions: Cross-Sectional Survey Study and Consensus-Based Recommendations.

Background: Mobile health (mHealth) refers to using mobile communication devices such as smartphones to support health, health care, and public health. mHealth interventions have their own nature and characteristics that distinguish them from traditional health care interventions, including drug interventions. Thus, randomized controlled trials (RCTs) of mHealth interventions present specific methodological challenges.