The traditional system of medicinal plants have been found to possess significant anti-inflammatory, antibacterial, anti-fungal, anti-diabetic, analgesic properties etc. Plant-derived drugs are used to cure mental illness, skin diseases, tuberculosis, diabetes, jaundice, hypertension, and cancer. Wedelia Trilobata belongs to family Asteraceae. Leaf, stem, and flower of Wedelia trilobata show anti-microbial, anti-oxidant and anti-inflammatory activity, analgesic activity. Phytochemical screening of the extract has been reported to show the presence of tannins, cardiac glycosides, flavonoids, terpenoids, phenols, saponins, and coumarins. Wedelia Trilobata is also used in reproductive problems, amenorrhea, chest cold, dry cough, and fever. The present review aims to the study was phytoconstituents, biological and pharmacological activities of Wedelia trilobata. This study suggested a possible use of Wedelia trilobata as a source of natural medicines as an anti-inflammatory, anti-oxidant, anti-microbial, hepatoprotective, antidiabetic agents. Keywords: Wedelia Trilobata, Trialing daisy trilobata, Complaya trilobata(L), Sphagneticola Trilobata, pharmacological review.

The present review aims for the study of phytoconstituents and pharmacological activities of some natural plants. The traditional medicinal plants have been found to acquire therapeutic activities significantly antimicrobial, anti-inflammatory antibacterial, anti-fungal, antioxidant properties etc. The plant-derived constituents are majorly for the aliments of used skin disease diabetes, bronchitis, asthma, arthritis, dry cough, ulcer and fever. The antimicrobial activity of the following plants like Justicia adathoda, Lantana Camara, Acacia leucophloea, Holoptelea integrifolia, Calotropis Procera, chlorophytum tuberosum, Bombax ceiba, Bacopa monnieri, Wedelia trilobata, Jatropha gossypifolia were obtained from the extraction of either  leaves, stem or flowers by using ethanol, methanol, aqueous, petroleum ether, chloroform. The phytochemical constituents of the extract have been shown the presence of alkaloids, glycosides, cardiac glucosides tannins, proteins, carbohydrates, saponin, quinines, triterpenes, steroids, polyphenolic, volatile oil, phenols, starch sugar, amino acid, resin and organic acids. This study evidenced the possible use of the mentioned plants as a source of natural medicines which are used as an antimicrobial, anti-inflammatory, anti-bacterial, anti-fungal, antioxidant agents. Keywords:  Medicinal plants, Antimicrobial, Anti-inflammatory, Antioxidants.

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For its simple, effective and non-invasive approach, radial pulse signals have been used for diagnosing the health condition of humans. Despite the fact that there are numerous methods for acquiring pulse data and data processing techniques, no model based on predictions and classification is still to be constructed. Hence, the suggested work intended to classify human pulse signals using a logistic regression model that is better at understanding them. Logistic regression was used to evaluate and extract dependent and independent variables from a dataset of human pulses. This method identifies the best-fitting model to represent the relationship between dependent and independent variables, as well as the performance of each dosha, such as Vata, Pitta, & Kapha that enables medical practitioners/clinicians in understanding the relationship between each dosha, determining the performance of each dosha will assist him in finding the dominance among three and, based on this, he can recommend treatment.