Hepatocellular Carcinoma with Vascular Invasion Treated with Resin Yttrium-90 Transarterial Radioembolization Using Single Compartment Dosimetry.

Purpose: To report outcomes in hepatocellular carcinoma (HCC) patients with lobar and segmental vascular invasion treated with resin Yttrium-90 transarterial radioembolization (Y90-TARE) with single-compartment MIRD (Medical Internal Radiation Dose) model.

Materials And Methods: This was a retrospective IRB approved study of patients with a diagnosis of HCC with vascular invasion undergoing resin Y90-TARE from 2014 to 2022 (n = 61). Patients with Body Surface Area dosimetry (n = 20), main portal vein invasion (n = 6) and patients with an ECOG of > 2 were excluded (n = 1) with a final cohort of 34 patients.

Photocatalytic removal of textile wastewater-originated methylene blue and malachite green dyes using spent black tea extract-coated silver nanoparticles.

The spent black tea extract was utilized in order to synthesize the spent black tea silver nanoparticles (SBT-AgNPs). Various parameters were tested to yield the best production of SBT-AgNPs. The characterization was conducted by X-Ray diffraction, Scanning electron microscopy, Zeta potential and energy dispersive X-ray (EDX).

When surgery leaves more than just scars: The curious case of gossypiboma- A case report and literature review.

Gossypiboma is a unique postoperative complication characterized by the presence of a surgical sponge after surgery. This condition is seldom encountered. Owing to its serious medicolegal implications it remains underreported leading to a blurred clinical spectrum.

Signature-based intrusion detection using machine learning and deep learning approaches empowered with fuzzy clustering.

Network security is crucial in today's digital world, since there are multiple ongoing threats to sensitive data and vital infrastructure. The aim of this study to improve network security by combining methods for instruction detection from machine learning (ML) and deep learning (DL). Attackers have tried to breach security systems by accessing networks and obtaining sensitive information.

Revolutionizing Cardiac Care: Artificial Intelligence Applications in Heart Failure Management.

Recent advancements in artificial intelligence (AI) have revolutionized the diagnosis, risk assessment, and treatment of heart failure (HF). AI models have demonstrated superior performance in distinguishing healthy individuals from those at risk of congestive HF by analyzing heart rate variability data. In addition, AI clinical decision support systems exhibit high concordance rates with HF experts, enhancing diagnostic precision.