Automation in pharmaceutical sector by implementation of artificial intelligence platform: a way forward

Worldwide, there are technological advances that swift automation in several aspects of the pharmaceutical industry such as pharmacovigilance, clinical research, medical affairs, and marketing. Innovative technology like artificial intelligence (AI) emphasizes the massive use of the internet for drug development, drug safety, data analytics, communication marketing, and customer engagement to achieve the goal of pharmaceuticals and patient-centric healthcare. Presently, escalating the number of individual case safety reports (ICSRs) necessitate the support of AI in the transformation of drug safety professional. AI can be transformed and evolve the clinical trial process from the conventional method alongside benefited the cutting cost, enhancing the trial quality, and alleviate trial time by almost half. Today, AI may be efficiently implemented to lower the cost of medical information requests, besides the online chatbots to communicate with health care professionals (HCPs) and consumers. There are numerous forthcoming uses of AI which need to be executed for renovation in the field of pharmaceuticals

SOLID LIPID NANOPARTICLES: A PROMISING APPROACH FOR COMBINATIONAL DRUG THERAPY IN CANCER

Combination therapy for cancer treatment is accepted worldwide due to the generation of synergistic anticancer effects; restrain in multidrug resistance (MDR) or tumor resistance by different mechanisms of action and minimization of dose-dependent toxicity. Recently developed Solid lipid nanoparticles (SLNs) are matrix composed of lipid which is solid at both room and body temperature and hence it is as an alternative to other nanocarrier systems. SLNs after oral administration get absorbed by lymphatic pathway due to stimulation of chylomicron formation. Thus, it avoids all consequences related to an oral drug delivery system and improves oral bioavailability. SLNs based combination drug delivery to tumor tissues reduces the problems associated with chemotherapy. The targeted and sustained delivery of chemotherapeutic agents reduces the dose by achieving high concentrations at the target site, without altering the normal tissues. In this article, we have reviewed and focused on SLNs as a drug delivery system; ingredients used in formulating SLNs and developed two or more drugs in a single formulation of SLNs as drug delivery. This article also focuses on the fact that SLNs as a combination drug delivery provides an attractive approach in future prevention and beneficial for the treatment of cancer by increasing its therapeutic efficacy

Multi Keyword Similarity Search Over Encrypted Text Data on Cloud

The tremendous amount of data is being outsourced every day by individuals or enterprises . It is not feasible to manage or to store such a large data locally, due to the limited storage capacities, and the system becomes the single point of failure. the cloud comes into picture to store the data with better flexibility and cost saving. As the data might be confidential or sensitive, the data which user wants to store on the cloud can be private and it should not be leaked, for that purpose searchable encryption is be used, so that even if the file falls in wrong hands it will be safe. At the time of retrieval of data, the multi-keyword search over text data can only handle the exact keywork matching. Multi-keyword similarity search overcomes the problem of not finding any related documents on searching. while encrypting the data before storing it to the cloud will help to preserve the privacy of the files. Finding the similarities between input keyword or similar keyword is done by edit distance metric algorithm. Final design to achieve the user privacy, and to speedup the search task. At cloud side Bloom Inverted List is used to implement searching on index

Survey on Faulty Node Detection and Recovery Algorithm for WSN

In Faulty Node Detection and Recovery Algorithm for WNS critical problems like fault tolerance created. Earlier fault tolerance mechanism consume significant extra energy to detect and recover from the failure or having additional hardware and software resources. .Lifetime of sensor node is enhanced because of using diffusion algorithm combined with the genetic algorithm. When some node get faulty in network then this algorithm is useful to avoid performance related data transfer. Wireless sensor networks are having tendency to fail of sensor, due to the energy depletion, failure of hardware’s, conditions of network environment. We sure that that type of algorithm used then result is replacements of sensor nodes and more reused routing paths. Time for data transfer is depend on active nodes that’s why we detect a routing path with faulty node. Power consumption is affect the hierarchy of active nodes that’s why data is not transferred surely. In this proposed algorithm reduces the rate of data loss by approximately 98.8%, and reduces the rate of energy consumption by approximately 31.1%. DOI: 10.17762/ijritcc2321-8169.150310

DEVELOPMENT AND VALIDATION OF RP-HPLC METHOD FOR SIMULTANEOUS ESTIMATION OF THREE-COMPONENT IN TABLET DOSAGE FORMULATION

ABSTRACT:An accurate, simple, reproducible andsensitive method for the determination ofparacetamol, caffeine and chlorpheniraminemaleate in tablet dosage form is developed andvalidated. The separation is achieved usingHiQsilC18HS reverse-phase column (250 X 4.6mm I.D., particle size 5μm) using a mixture ofacetonitrile and water in the proportion 55:300with final pH of 2.4 adjusted with o-phosphoricacid as a mobile phase. The flow rate is 1.0mL/ min and effluents were monitored at 265nm. Total run time is less than 12 min. andretention time of paracetamol, caffeine andchlorpheniramine maleate are 6.742, 9.417, and3.683 min respectively. Validation of method isdone as per ICH guideline for accuracy,precision, linearity, specificity, and sensitivity.The linearity for paracetamol is found to be100-650 μg/mL where as for caffeine andchlorpheniramine maleate is found in the rangeof 15-100 μg/mL. Result of validation study isfound statistically significant because all thestatistical parameters were within theacceptance range (COV and S.D. <1.0 for bothaccuracy and precision). The limits of detection(LOD) values are 1.2014, 0.4587 and 0.8945and limit of quantitation (LOQ) values are0.5142, 0.4512 and 0.7845 μg/mL forparacetamol, caffeine and chlorpheniraminemaleate respectively. High percentage recoveryand low COV value revealed the reliability ofthe method for quantitative study of threedrugs in Fevril tablets as a quality-control toolfor routine quantitative determination ofparacetamol, caffeine and chlorpheniraminemaleate

Selection of online Features and its Application

Selection of Online Feature is significant important concept in data mining. Batch learning is the mostly used learning algorithm in feature selection. Instead of Batch learning, online learning is most efficient and scalable machine learning method. Most existing system studies of online learning should access the data related to features. But accessing all data becomes a problem when we deal with high dimensional data. To avoid this limitation we proposed system in this online learner allowed to operate a classifier having fixed and small number of features related data. But the significant challenge Selection of online features (SOF) is how to construct accurate prediction for a data using a small number of operative features. To develop novel Selection of Online Feature algorithms to perform a various tasks of Selection of Online Feature by using semi supervised and supervised with unlabeled and label data for full input and partial input. Hence it provides integrity and scalability to the data storage system efficiently and users will be accessing the data through online

Research Journal of Pharmaceutical, Biological and Chemical Sciences Development and characterisation of oral fast dissolving tablet of nifedipine using camphor as a subliming material

ABSTRACT Mouth fast dissolving drug delivery system has gained high patient acceptability and popularity in the recent times. The aim of this study was to evaluate the effect of increasing nifedipine load on the characteristics of fast-disintegrating sublingual tablets for the potential emergency treatment of anginal pain and hypertension. Nifedipine undergoes first pass metabolism in liver and gut wall which has oral bioavailability of 43-77%. Sublingual dosage form bypasses the metabolism of the nifedipine in liver and offers a fast relieve from anginal pain and hypertension. An attempt has been made to prepare fast dissolving tablets of nifedipine were prepared by wet granulation technique using camphor as subliming agent and sodium starch glycolate together with crosscarmellose sodium as superdisintegrants, flavor and sweetner impart the taste to the formulation. The porous granules were compressed in to tablets by single punch tablet machine. Camphor was sublimed from the tablet by exposing to vacuum drier at 60°c for 12 hrs. All the formulations were evaluated for weight variation, hardness, friability, content uniformity, wetting time, disintegration time and dissolution rate. Among the formulations, (NEF6) one containing to be the best acceptable in terms of palatability, fast dissolving tablet having adequate strength. The disintegration time was found to be 58.0 ± 0.4 seconds, hardness of 3.4 ± 0.41 kg/cm2, wetting time of 39.3 ± 1.80 sec and drug release of 99.96% in 10 mins. All the formulations showed low weight variation. The present study demonstrated potentials for rapid absorption, improved bioavailability, effective therapy and patient compliance

Survey Paper on Multi Keyword Similarity Search over Encrypted Cloud Data

The tremendous amount of data outsourced every day by individuals or each enterprises . It is impossible to manage or to store this complex data at individual level, as the chances of crash the system is more, and the system becomes the single point of failure.When we feel the need of storing the data in such a way that it can be accessed uninterruptedly, then there the cloud comes into picture to store the data with better flexibility and cost saving. As the data might be confidential or sensitive. Considering the privacy of the data over the cloud, for that searchable encryption can be used. At the time of retrieval of data, consider the multi-keyword search over outsourced cloud text data only as it can handle the exact keywork matching. Multi-keyword similarity search overcomes the problem of not finding any related documents on searching. while encrypting the data before storing it to the cloud will help to preserve the privacy of the files. Searchable encryption also enables searching without revealing any additional information. Using multi-keyword similarity search cloud returns the files containing more number of matches with user input keywords and similar keyworks. Finding the similarities between input keyword or similar keyword is done by edit distance metric algorithm. Final design to achieve the user privacy, and to speedup the search task. At cloud side Bloom Filter’s bit pattern is used to speedup and it is efficient in terms of the search time at the cloud side. This paper presents a review on various existing Similarity searching techniques

Potential Defensive Involvement of Methyl Jasmonate in Oxidative Stress and Its Related Molecular Mechanisms

Jasmonic acid (JA), cytokinins (CK), gibberellins (GA), abscisic acid (ABA), ethylene (ET), and salicylic acid (SA) are potent plant stress hormones (phytohormones/PTH). Methyl jasmonate (MeJA), a volatile ester of JA, is derived from the petals of Jasminum grandiflorum (jasmine). The MeJA has been meticulously confirmed for its food, agricultural, and therapeutic uses in the treatment of a range of serious illnesses. Several scientific articles have studied and reported on the role of free radicals in the development of life-threatening clinical illnesses. The inflammatory signaling pathway is triggered by a weak or interfering endogenous antioxidant system, or the elaborated production of free radicals, which causes damage to key cellular components. The current chapter focused on and demonstrated MeJA’s multifunctional role in antioxidant and anti-inflammatory signaling mechanisms such as inhibition of NF-B (nuclear factor kappa-light-chain-enhancer of activated B cells), mitogen-activated protein kinase (MAPK or MAP kinase) pathway inhibition/down-regulation of pro-inflammatory mediators (IL, TNF-), cyclo-oxygenase (COX), and (LOX). The antioxidant effect of MeJA’s interaction with miRNA, transcription of nuclear factor erythroid 2-related 2 (Nfr2), activation of sirtuins (SIRTs), antioxidant and redox signaling pathway were also discussed in the chapter

Variations of branching pattern of the dorsalis pedis artery: A cadaveric study

Background: Dorsalis pedis artery (DPA) is the chief artery of foot. It provides nutrition to the dorsum of the foot. Palpation of DPA is essential for the diagnosis of peripheral vascular diseases. Cutaneous flaps supplied by branches of DPA are used in various reconstruction surgeries. Methodology: 50 meticulously dissected lower limbs of both sides and known sex were observed for morphometry, asymmetry and sexual dimorphism of DPA and its branches. Variations like absent arcuate artery and extra lateral tarsal arteries were looked for. Results: Absent arcuate artery was seen in 12%. Three tarsal metatarsal arteries and two tarsal metatarsal arteries were seen in 4% and 16%, respectively. An extremely rare case of U-shaped loop joining two tarsal metatarsal arteries was seen in two limbs. Conclusion: Rare variations like multiple tarsal arteries joined by U-shaped loop and absent arcuate artery seen in our study are of importance for reconstruction surgeries using DPA flaps