Advances in Parkinson's disease research - A computational network pharmacological approach.

Parkinson's disease (PD), the second most prevalent neurodegenerative disorder, is projected to see a significant rise in incidence over the next three decades. The precise treatment of PD remains a formidable challenge, prompting ongoing research into early diagnostic methodologies. Network pharmacology, a burgeoning field grounded in systems biology, examines the intricate networks of biological systems to identify critical signal nodes, facilitating the development of multi-target therapeutic molecules.

Artificial intelligence: Machine learning approach for screening large database and drug discovery.

Recent research in drug discovery dealing with many faces difficulties, including development of new drugs during disease outbreak and drug resistance due to rapidly accumulating mutations. Virtual screening is the most widely used method in computer aided drug discovery. It has a prominent ability in screening drug targets from large molecular databases.

Prediction of Fetal Anemia in Subsequent Transfusions: Is There a Need to Change the Threshold of the Peak Systolic Velocity of the Middle Cerebral Artery?

Introduction: Peak systolic velocity (PSV) of the middle cerebral artery (MCA) shows 100% sensitivity for predicting fetal anemia before the first intrauterine transfusion (IUT). However, its ability to predict subsequent transfusions has remained mostly controversial.

Objectives: To assess if there is a need to change the threshold of MCA-PSV from 1.

Outcome of Pregnancies Diagnosed with TRAP Sequence Prenatally: A Single-Centre Experience.

Introduction: Twin reversed arterial perfusion (TRAP) sequence is a phenomenon seen in 1-3% of monochorionic twin pregnancies, where the acardiac fetus is found to have multiple anomalies. The normal pump twin maintains its own perfusion in addition to that of its acardiac co-twin. As a result, if the acardiac twin increases in size, the burden on the pump twin is increased, leading to cardiac failure, hydrops fetalis, polyhydramnios, premature delivery, and perinatal death.

Studies on influence of process parameters on hydrothermal catalytic liquefaction of microalgae (Chlorella vulgaris) biomass grown in wastewater.

In this study, liquefaction of Chlorella vulgaris biomass grown in photo-bioreactor using wastewater as source of nutrition was studied and influence of process parameters on the yield of bio-oil was analysed. Different biomass to water ratio (5g/200ml, 10g/200ml, 15g/200ml, and 20g/200ml) was taken and bio-oil yield at various temperatures ranging from 220 to 340°C was studied. Catalyst loading of the range 2.