To be fairly honest, you really can take away a great deal of beneficial insights even just from one psychic studying session. You may suddenly find new hope for a scenario and then when it does not come accurate you feel completely disillusioned and cheated.

The pharmaceutical industry is expected to be worth $1.5 trillion by 2023, and the field of pharmacovigilance plays a crucial role in ensuring the safety of drugs. Artificial Intelligence (AI) and Machine Learning (ML) models are being applied to improve the pharmacovigilance process, including case intake using Optical Character Recognition (OCR) and Natural Language Processing (NLP), natural language generation (NLG) for narrative writing, robotic process automation (RPA) for dynamic case workflow, AI-based signal detection, and AI-based adverse event prediction. These advancements have the

The global pharmaceutical industry is currently facing many, wide ranging, challenges, including an aging population, increased life expectancy, a rise in chronic conditions, reduced funding for treatments, reduced numbers of clinical staff, the ever increasing cost of drug development and raw materials, and supply chain issues. Consequently, the pharmaceutical industry is increasingly looking at how a wealth of data, including compound libraries, trial data, and patient data, can be used and reused by artificial intelligence (“AI”) to alleviate these challenges and improve patient care.

However, these efforts are haunted by a shortage of resources, restrictions on importing API, social distancing at facilities, disturbed supply chains, and tremendous pressure to quickly manufacture and distribute products. Despite these arduous circumstances, it remains critical for pharma companies to maintain quality and compliance and follow regulatory guidelines. Doing so requires pertinent measures to ensure adherence to Current Good Manufacturing Practice (CGMP) guidelines, and data integrity to meet the requirements of regulators including the U.S. Food and Drug Administration (FDA),

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In August 2021, ransomware operators targeted the health department of the Italian region of Lazio and disabled its COVID-19 vaccination booking system, disrupting the scheduling of new vaccination appointments for days.

Since it contains the city of Rome and is one of Italy’s most densely populated areas, Lazio was an attractive target because of the strong desire among its people to get vaccinated and gain its Green Pass vaccine passport. Hackers likely believed that this would pressure the authorities to pay up the ransom to unlock the systems they had disabled through a cyberattack.

While the life sciences sector has incrementally adopted digital technologies over the years, the rate of digital transformation over the next five years looks to be unprecedented. Collaborations and acquisitions in the pursuit of digital transformation have accelerated significantly. In 2018, US$9.5 billion was invested in the digital health sector over 698 deals. From the FDA approval of Otsuka’s sensor embedded drug Abilify Mycite and the approval of Pear Therapeutics’ app for the treatment of opioid abuse, through to Takeda’s partnership with Emulate Inc for the use of organs on chips for

Big pharma is gradually and progressively riding the social media bandwagon with a host of tactics towards listening, analytics, engagement, brand promotions, and much more. This has meant successful handling of the regulatory hurdles — what to share, what not to share, how much to share and most importantly the safety events that need to be reported. But even as all of this is afoot, companies are generally observed to be reticent in embracing social media wholeheartedly. While companies in other industries may only fret over a social media faux pas because it can potentially lead to public

To bring this into reality, pharmaceutical PV organisations need to move into a “digitalised future” where technology plays a key role in PV processes. This includes automating and streamlining the information streams to reduce complexity, from case processing to reporting. Once automated, companies need to begin to look to artificial intelligence to add further value from their data.

By applying artificial intelligence (AI) and data science approaches, organisations can turn the overabundance of data from being a challenge to solve, into an opportunity. A well-designed, automated, AI-powe

Nanomaterials have been one of the most exciting scientific and technical innovations of the past few decades. Due to their very high surface to volume ratios, they exhibit properties that can differ dramatically from those for the same material in bulk. This, and their ability to be designed and synthesized with multiple surface functionalities, has seen them used for a myriad of bespoke applications in industry and medicine.

Their medical applications span delivery systems for drugs, proteins and DNA/RNA to diagnostics, targeted cancer treatments, to theranostics. They have been used ver

Traumatic events such as date rape, drowning or death of loved ones in accidents often necessitate the use of antidepressants for a short treatment course. Unfortunately, many antidepressant use is plagued by antidepressant discontinuation syndrome (ADS). ADS is a common problem in patients following the interruption, dose reduction, or discontinuation of antidepressant drugs. Typical symptoms of antidepressant discontinuation syndrome include extreme insomnia, nausea, gait instability, sensory disturbances, dizziness, increased suicidal thoughts and hyperarousal. These symptoms can be disabl

Big pharma is gradually and progressively riding the social media bandwagon with a host of tactics towards listening, analytics, engagement, brand promotions, and much more. This has meant successful handling of the regulatory hurdles — what to share, what not to share, how much to share and most importantly the safety events that need to be reported. But even as all of this is afoot, companies are generally observed to be reticent in embracing social media wholeheartedly. While companies in other industries may only fret over a social media faux pas because it can potentially lead to public

2017 was the year where pharma realised that Big Data could dramatically increase the value of data produced during drug development or coming from Electronic Medical Records (EMRs) and medical devices. In 2018 it became clear that AI technologies could unlock much of the value of Big Data; 2019 is the year where we have everything in our hands to leverage Big Data, IoT and AI to deploy solutions that fundamentally affect the full drug development lifecycle, reverse the continuous growth of drug development timelines (25 per cent higher in 2018 versus 2012, reaching a startling 12 years on av

Functional service has been ranked high among the buzz words of the clinical research industry. Both sponsor organisations and service providers are equally excited about the opportunities this model offers and the potentially win-win situation it provides to them. Sponsor organisations typically send individual protocol-related service RFPs (request for proposals) to CROs and follow-up with contract negotiations. Sponsors have realised the benefits of reduced oversight and contract management a complete functional service outsourcing model offers saving valuable time and resources. Depending

WWG Engineering providing High Grade Carbon Graphite Bushing, primarily adopting Semi Coke made from High Grade Jurassic Coal. So that they are ideal for applications even at high temperature . This is regarded as a New Type of Carbon Material, substituting some Metallurgical Coke. In general, Semi Coke has successfully replaced Coke, Pet-coke, and Charcoal.As an end result, Production cost is reduced, quality is maintained or upgraded, and most importantly, we can reduce the Production Cost and Pass-on the Benefits to Customers.

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