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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.

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),

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.

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.

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

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

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

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

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

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

Traditional clinical trials have long served as the cornerstone of medical research, providing essential evidence for evaluating the safety and efficacy of new interventions. However, these trials often encounter significant challenges, including inefficiencies, high costs, logistical complexities, and limited participant diversity. Post the COVID-19 pandemic era, a groundbreaking approach called decentralized clinical trials (DCTs) has emerged as the new normal, harnessing technological advancements to revolutionize the landscape of medical research. This article explores the principles, key

Medicine is the testament to the virtue of human innovation - a collective desire to reduce the burden of disease and an ever evolving journey to enhance the quality of human health. The origin of medicines can be traced back to ancient times when human began to use the natural resources to treat injuries and illness. Highly developed and documented evidences of medicinal practices comes from the world’s most ancient civilisations such as Egypt, India, China and Greece1. Traditional Chinese medicine2, which dates back more than 2,500 years, used a combination of herbs, acupuncture, and other

Artificial intelligence is a field of engineering and science that focus on making intelligent machines. Artificial intelligence is a top technology that is reshaping the pharmaceutical industry's future. For ages, the pharmaceutical industry has been developing cures and treatments. Traditionally, medication design and manufacture took many years, extensive clinical studies, and sky-high prices.This has been changing with the advancement of 21st-century technology. We will see different drug designs, manufacturing, and clinical trials in the future.

Natural Language Processing (NLP), Mach

The drug business has various strange qualities that make it very different from individuals' thought process of as industry. Its additionally an industry packed with logical inconsistencies; for instance, notwithstanding the undisputed reality that for more than a century the business has made a major contribution to human prosperity and the decrease of chronic sickness and suffering, it is still routinely recognized bygeneral society in assessment reviews as one of the most un-confided in ventures, frequently being contrasted horribly with the atomic business. It is without a doubt perhaps

Many Pharma companies in EU suffer a size problem. When revenues are below 100 M€ is extremely difficult to survive in a market where to renew the portfolio is increasingly costly, as well as to pay the regulatory demands, which grow year by year (environmental regulations, verification, wastes processing, plastics control, etc...). Additionally, the easy solution of playing in the Generics Market does not work anymore, mostly due to the devastating price erosion in major markets (France, Germany, Italy and Spain).

Cannabis plants contain a wide variety of complex compounds including phytocannabinoids, terpenoids and flavonoids, found mainly in the inflorescences. Major phytocannabinoids like CBD and ∆9-THC have beneficial effects on human health. It is well known that variations in their profiles are connected to growth, light quality, humidity, the use of pesticides, harvesting and especially post-harvesting, like improper drying procedures that can facilitate fungal and microbial growth. Mass spectrometry is the tool of choice for the analysis of all these biologically active compounds along with tha

The spleen is an organ found in all vertebrates. It is a large secondary lymphoid organ that primarily functions as a blood filter. The second spleen’s function is immune system surveillance. As a specialized immune organ, the spleen plays a significant role in innate and adaptive immunity. Specifically, the spleen is a crucial organ for peripheral immune tolerance, complementing central immune tolerance. Splenectomy in both study animals and humans results in overwhelming infections with especially, encapsulated bacteria [1]. On the opposite, supporting the immune system with an additional s

A countless number of proteins including growth factors receptors, and cytokines play a pivotal role during the onset and exacerbation of numerous human diseases including cancer, autoimmune and inflammatory disorders.1
Of these proteins, extracellular and membrane-associated proteins represent around 40% of human proteome and they play diversified roles including signal transduction, cell adhesion, cell-cell interaction, and solute transport. Accordingly, the vast majority (ca. 60%) of current therapeutic approaches; such as small molecule inhibitors, oligonucleotide agents and monoclonal a