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

ADAPTIVE IMAGE STEGANOGRAPHY USING PIXEL INTENSITY DIFFERENCE

In this digital world the Internet has become so popular and billions of people are using it. On various platform, web applications as well as standalone applications there is a need of Internet. For this purpose various techniques like cryptography, data encryption/decryption, and data hiding algorithms are invented. But use of these techniques was not too secure and hackers easily stole the secret message. To ensure high security of confidential data a new technique was invented known as “Steganography”. In this paper we a new a new steganography scheme which is very efficient with respect to data hiding capacity and distortion. The main approach for this algorithm is based on pixel intensity difference

Adaptive Image Steganography Using Pixel Intensity Difference

In this digital world the Internet has become so popular and billions of people are using it. On various platform, web applications as well as standalone applications there is a need of Internet. For this purpose various techniques like cryptography, data encryption/decryption, and data hiding algorithms are invented. But use of these techniques was not too secure and hackers easily stole the secret message. To ensure high security of confidential data a new technique was invented known as “Steganography”. In this paper we a new a new steganography scheme which is very efficient with respect to data hiding capacity and distortion. The main approach for this algorithm is based on pixel intensity difference

APPLICATION OF DATA HIDING IN AUDIO-VIDEO USING ANTIN FORENSICS TECHNIQUE FOR AUTHENTICATION AND DATA SECURITY.

Steganography is the art of covered or hidden text message. The purpose of steganography is covert communication-to hide the existence of a secret message from a third party. This paper is intnded as a high-level technical introduction to steganography for those unfamiliar with the field. It is directed at forensic computer examiners who need a practical understanding of steganography without study into the mathematical, although references are provided to many of the ongoing research for the person who needs or wants additional detail covered by audio-video file. Although in this paper gives a historical context for steganography, the significance is on digital applications use anti Forensics technique, focusing on hiding information in online audio and video files. Examples for tools of software that employ steganography to hide data inside of audio-video file as well as software to detect such hidden files will also be presented

Deep vein thrombosis of the lower limbs: A retrospective analysis of doppler ultrasound findings

Background: Deep venous thrombosis (DVT) of lower limbs is one of the most common cause for the majority of deaths caused by pulmonary embolism. Many medical and surgical disorders are complicated by DVT. Most venous thrombi are clinically silent. B-mode and color Doppler imaging is needed for early diagnosis of DVT to prevent complications and sequalae of DVT. Aim and Objectives: The objectives of the following study were to evaluate the role of Doppler as an imaging modality in diagnosing DVT of lower limbs, to study the spectrum of findings on Doppler ultrasound in patients with DVT. Materials and Methods: Retrospective descriptive analysis of 78 patients of DVT diagnosed on Doppler. Results: Nearly 74% of the patients were males and 26% were females with majority belonging to fifth decade (26%). 75 (96.1%) cases showed unilateral while 3 (3.9%) cases showed bilateral lower limb involvement. In our study, predominant distribution of thrombus was found to be in above knee region with 69/78 (88.5%) patients having thrombus in the superficial femoral vein. Popliteal vein was involved in 54/78 (69.2%) patients. Complete thrombosis was observed in 54/78 (69%) cases, while partial thrombosis was observed in 24/78 (31%) cases. Subacute stage was seen in 42 cases (53.8%), acute stage in 23 cases (29.5%) while chronic stage in 13 cases (16.7%). 71 cases (91%) had multiple contiguous segmental involvement, whereas 7 cases (9%) had isolated vein involvement. Conclusion: Color Doppler is useful in diagnosing DVT in symptomatic and at risk patients and provides a non-invasive method of investigation. It is also helpful in evaluating the site, extent and stage of thrombus