The future of 3PLs

It is difficult to predict what will happen tomorrow, let alone predict the future of 3PLs in the coming decade. After all, in early 2020, who could have foreseen the upheaval the COVID-19 pandemic has brought to supply chains across the globe? Faced with so much uncertainty, one may want to take the approach of many futurists who think about time in a different way. Instead of thinking in linear terms and throwing darts several years into the future, they start with identifying more highly probable events in the short term and work outward (Webb, 2019). So, while we do not own a crystal ball, we are convinced that two currently emerging aspects, you could call them trends, will shape the foreseeable future of third-party logistics providers (3PLs). First, pronounced technological advancements pertaining to hardware and software increasingly impact the future of corporate supply chain management. Second, elements and events within supply chains are getting more difficult to predict. Looking at the next five to ten years, 3PLs will need to proactively address these trends because it directly influences the 3PLs success and because it influences the 3PLs' clients' success and their associated demand for logistics services. While both trends raise challenges, they also offer ample opportunities for 3PLs by enhancing their current services and developing new offerings. For this, 3PLs need to enhance their leadership and management skills. Moreover, 3PL need to emphasize establishing and managing collaborative relationships. © Springer Nature Switzerland AG 2023. All rights reserved.

Keeping Europe's Medicines Stocked

[...]best-in-class pharma companies are focusing on reliability and resilience in the supply chain-if they can't make a product or deliver a product on time, a patient is not served, and no sale is made. People can scale to a certain degree but scaling by a factor of 100 is not possible with people in a short period of time and does not deliver on economies of scale. Pharma companies are also issuing 'green bonds' where investors can expect the contribution of capital to improve the company's sustainability.

Building Up to a Bright Future

Dissolution testing is an integral part of pharmaceutical development, providing drug companies with the analytical ability to determine the efficacy, bioequivalence, and bioavailability of the active drug substance, as well as control quality, stability, and consistency of the final drug product. [...]there is also a shift in focus to more novel and personalized dosage forms that is happening within the bio/pharma industry, requiring modifications to many different areas of drug development and manufacturing, including dissolution testing, Spisak added. Novel formulations can pose challenges when using standard apparatus;nanoparticles, for example, are not necessarily sufficiently separated from the dissolution medium with standard techniques. [...]modification of the instrumentation, such as that found in Agilent's NanoDis system, is required to ensure an accurate prediction of in-vivo performance of the drug product can be made.

Overcoming Vaccine Development Challenges

According to recent market research, the vaccines market is expected to grow at a compound annual rate of 14.7% for the forecast period of 2020-2026 (1), the growth of which has been accelerated by the recent COVID-19 pandemic. Durability of glass vials at very low temperatures and permeability of plastic vials has complicated the packaging decisions as well." Since the beginning of the pandemic, the bio/pharma industry has been under pressure to produce stable formulations for effective vaccines in accelerated timescales, Blouet asserts. [...]the drive for a COVID-19 vaccine has occurred during a period of increased basic scientific understanding, such as in genomics and structural biology, supporting a new wave of vaccine development and production, she says. According to Phadnis, in addition to single-use technologies, automation for high throughput and robust analytical assays are necessary for rapid turnover during development and manufacturing of vaccines.

Injecting Innovation into Drug Packaging

According to Jens Kürten, group senior director, Communication and Marketing, Gerresheimer, there are nine megatrends that will both characterize and influence the pharmaceutical packaging market. Whether the drug be injected intravenously or subcutaneously, at home or in a hospital setting, there are various needs that should be considered prior to choosing the 'best-fit' packaging, he adds. [...]packaging requirements for pharmaceuticals change over time as the lifecycle of the drug continues," Stöcker states. [...]customers request more eco-friendly options to reduce or avoid plastic. [...]it has been necessary to design the packaging for the vaccines with these specific requirements in mind to ensure the safety and efficacy of the therapeutic product are protected.

New Paradigm: HR Professional Transformation in Manufacturing Company: Acces la Success

This study aimed to optimize the line managers performances in the human resources (HR) division in answering the role of the HR management function problem in Medan City Manufacturing Company. The novelty proposed is a concept of HR management called "Human Resources Professional Transformation". Specifically, this concept discussed the ability of HR division line managers to make adaptive changes to the company's business-oriented functional divisions with managerial competence, commitment, innovation capability, and readiness for changes towards work performance. The population of this research was the line manager of the HR division, totaling 185 respondents. The sampling technique used a probability sampling approach with simple random sampling through the slovin formula, totaling 126 respondents. The analytical tool used is structural equation software through the SmartPLS application program. The results showed that managerial competence, commitment, innovation capability had a positive and significant effect through the HR professional transformation on the performance of line managers in the HR division. Meanwhile, readiness for change has a positive and insignificant effect on the HR Professional Transformation. Readiness for change also has a positive and insignificant effect on the Line Managers Performances in the Human Resources Division through HR Professional Transformation. Based on the suitability test of the research model, it proved that the HR Professional Transformation can answer the problem of the role of the management function to improve the line managers performances in the HR division with managerial competence, commitment, innovation capability, and readiness for change of 0.907.

Patient Recruitment Goes High-Tech

Clinical trial patient recruitment is arguably the most difficult aspect of pharmaceutical development, because it involves a variety of factors beyond study sponsors' control. The aggregation of data across 80 hospitals and 20 systems, for the purpose of understanding patients, doing feasibility studies, or engaging in decentralized recruitment, is the trend we're seeing." Nimita Limaye, PhD, is the vice president of research for the life sciences R&D strategy and technology division at the International Data Corporation (IDC), a market research and advisory firm specializing in the technology industry and headquartered in Boston, Mass. Limaye says the rise of social media-based patient recruitment has opened the door for sponsors and investigators to mine real-world data and to give patients a more central focus in research.

Improving Agility Through Scalability

Miniaturized, modular, and continuous manufacturing processes will help speed scale-up, address supply chain complexity, and prevent shortages of important medications, Janet Woodcock, director of the United States Food and Drug Administration's (FDA's) Centre for Drug Evaluation and Research (CDER), noted during a meeting of the US National Academy of Sciences (NAS) in late February 2020. Describing the research at the NAS meeting (2), Rao said his team has conducted a demonstration project involving Neupogen (filgrastim) and is working with GE on development of remote bioreactor sensors to monitor analytes, oxygen, and carbon dioxide in smallscale systems in real time (2). [...]since research results were first published, he notes, robotics have been improved, and now include integrated online measurement systems using infrared (IR), FourierTransform IR, and high-pressure liquid chromatography and mass spectrometry so that key parameters can be measured in real-time, permitting online process monitoring as well as process optimization. Use of Raman and nuclear magnetic resonance (NMR) spectroscopy, refractive index, excipient identification, metabolite monitoring, and cell counts has now become routine, in both process development and manufacturing, says Christy.

Claim Extraction and Dynamic Stance Detection in COVID-19 Tweets

The information ecosystem today is noisy, and rife with messages that contain a mix of objective claims and subjective remarks or reactions. Any automated system that intends to capture the social, cultural, or political zeitgeist, must be able to analyze the claims as well as the remarks. Due to the deluge of such messages on social media, and their tremendous power to shape our perceptions, there has never been a greater need to automate these analyses, which play a pivotal role in fact-checking, opinion mining, understanding opinion trends, and other such downstream tasks of social consequence. In this noisy ecosystem, not all claims are worth checking for veracity. Such a check-worthy claim, moreover, must be accurately distilled from subjective remarks surrounding it. Finally, and especially for understanding opinion trends, it is important to understand the stance of the remarks or reactions towards that specific claim. To this end, we introduce a COVID-19 Twitter dataset, and present a three-stage process to (i) determine whether a given Tweet is indeed check-worthy, and if so, (ii) which portion of the Tweet ought to be checked for veracity, and finally, (iii) determine the author's stance towards the claim in that Tweet, thus introducing the novel task of topic-agnostic stance detection. © 2023 ACM.

A survey of automatic contact tracing approaches using bluetooth low energy

To combat the ongoing Covid-19 pandemic, many new ways have been proposed on how to automate the process of finding infected people, also called contact tracing. A special focus was put on preserving the privacy of users. Bluetooth Low Energy as base technology has the most promising properties, so this survey focuses on automated contact tracing techniques using Bluetooth Low Energy. We define multiple classes of methods and identify two major groups: systems that rely on a server for finding new infections and systems that distribute this process. Existing approaches are systematically classified regarding security and privacy criteria.Copyright © 2021 ACM.

New Sample Prep Products and Accessories for 2023

[...]instrument-based sample preparation technologies are presented. [...]attention is turned to other sample preparation accessories and supporting technologies. First is the Swift HLB-DPX tips. First is the Thermo Scientific AccelerOme sample preparation platform automating sample preparation for liquid chroma-tography-mass spectrometry (LC-MS) proteomics.

Factors prompting augmented reality adoption in sacred places

There is evidence that sacred places across the world are launching augmented reality (AR) applications. This application of AR is somehow prompted by the most recent Covid-19 pandemic where in-person experiences are altered by the virtual. AR, as an innovative technology, augments the physical environment with digitally generated imagery that can generate privileges for tourists in sacred places and become the reason to trigger cultural conflicts and religious controversy. This in-depth interview-based research aims to explore the tourists' views and ideas of applying AR in the Mosque City of Bagerhat of Bangladesh, a UNESCO World Heritage Site in terms of possibilities, cultural conflicts, and religious controversy. Findings show that the application of AR in a sacred place can support tourists in many useful ways, can offer them positive experiences, and help in sustainability concerns of the site. However, the application of AR in a sacred place can be an element of conflicting interests between the religious and general tourists. Adequate attention is thus required from the parties involved in terms of applying AR in the Mosque City of Bagerhat of Bangladesh, a sacred religious site.

Getting the Most From FSP Model

Examining best practices in using the functional service provider model for clinical operations, pharmacovigilance, regulatory, and other areas The COVID-19 pandemic has shown that there's a lot more flexibility in clinical trial systems than what was realized in the past. Some of these and other aspects leading to the rise of FSP outsourcing in drug development has been shared by other experts as well.3 Key functions and sub-functional areas within clinical development that have been outsourced as part of FSP model include: * Clinical monitoring (CM) * Clinical data management (CDM) * Biostatistics, statistical programming (BS&P), data standards, conversions (e.g., CDISC) * Medical writing (MW) * Pharmacovigilance/drug safety (PV) * Regulatory affairs (RA) Based on our experience in advising clients and providing FSP/CRO services over the past 20 years, we have seen the creative bundling of some of these functions as part of the extended FSP partnership model. * Combination of CDM, BS&P, and data conversions * Extension of the CDM, BS&P, and MW into a "clinical data services' package * Combination of clinical monitoring, CDM, BS&P, and medical monitoring into a "centralized monitoring team" (potential future services) * Combination of PV and regulatory activities due to regional synergies and submission/compliance requirements (potential future services) To ensure that the FSP model is strategic and provide the sustainable mode of partnership, we have shared some of the best practices ahead (and summarized in Figure 1 above) that can be leveraged and further customized as needed by sponsors: 1.Functional sourcing strategy: Sponsors must include specific criteria as part of their evaluation of service providers for the FSP sourcing plan (some of these are also typically done during a full-service CRO outsourcing process): Size and geography focus of provider that needs to be aligned with the strategic plans of the sponsor (e.g., where they plan to conduct trials to meet their regulatory needs or the size of stud ies). Team strength, capacity, and experience with both FTE and unit/deliverables-based pricing models of delivery. * Commitment to deliver year-over-year productivity gains using automation, digital/AI/ML technologies, and other approaches. * Partnership approach to play a critical role in initiating, driving/participating in innovation, and transformation initiatives of the sponsor. * Past client and employee turnover (attrition) that should be on par or below benchmark for the same function and similar type of service. * Executive commitment to participate actively in joint-governance discussions that ensures proactive monitoring and tracking of the program milestones and drive mitigatory actions, should milestones not be delivered on time, quality, and cost. 4.RFI/RFP process, joint solution development, and rigorous scoring of proposals and solutions:

Advances in Dissolution Testing

With everything from real-time release testing to automated regulatory audit trail software continuing to gain prominence in the sector, an in-depth look toward the future of dissolution testing is needed for those seeking comprehensive understanding of the industry. [...]things like remote instrument monitoring, maintenance, validation, and possibly repair, software as a service, etc. start becoming subjects of discussion. Together with the move to software control discussed previously, this may make these concepts palatable and applicable to pharma the way they are accepted as de facto in many other industries.

The Detection of Abnormal Behavior in Healthcare IoT Using IDS, CNN, and SVM

Health care is always a top priority, and that has not changed no matter how far we have come in terms of technology. Since the coronavirus epidemic broke out, almost every country has made health care a top priority. Therefore, the best way to deal with the coronavirus pandemic and other urgent health problems is through the use of IoHT. The tremendous growth of IoT devices and networks especially in the healthcare domain generates massive amounts of data, necessitating careful authentication and security. Other domains include agriculture, smart homes, industry, etc. These massive data streams can be evaluated to determine undesirable patterns. It has the potential to reduce functional risks, avoid problems that are not visible, and eliminate system downtime. Past systematic and comprehensive reviews have significantly aided the field of cybersecurity. However, this research focuses on IoT issues relating to the medical or healthcare domain, using the systematic literature review method. The current literature in health care is not enough to analyze the anomaly of IoHT. This research has revealed that fact. In our subsequent work, we will discuss the architecture of IoHT and use AI techniques such as CNN and SVM to detect intrusions in IoHT. In the interest of advancing scientific knowledge, this study identifies and suggests potential new lines of inquiry that may be pursued in this area of study. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Drivers of digital supply chain transformation in SMEs and large enterprises – a case of COVID-19 disruption risk

PurposeDigital transformation in supply chains (SCs) has emerged as one of the most effective ways to minimize SC disruption risks. Given the unprecedented impact of the COVID-19 pandemic on global SCs, this study aims to identify and provide empirical evidence about the drivers of digital SC transformation, considering the interactivity between environmental dynamism, technology, and organizational capabilities during the pandemic era.Design/methodology/approachUsing partial least squares structural equation modeling (PLS-SEM), this study examines 923 firms in Vietnam to ascertain the drivers of digital SC transformation between small- and medium-sized enterprises (SMEs) and large enterprises, based on the technology–organization–environment (TOE) as an overarching framework.FindingsThis study finds that greater digital SC transformation adoption could be achieved under the interactivity between the TOE components of firms' technological competencies, learning capabilities, and disruptions in socioeconomic environments due to the COVID-19 pandemic. Moreover, a multigroup analysis shows that the drivers of digital SC transformation differ between SMEs and large enterprises. SMEs were found to be more motivated by the COVID-19 disruption risk when adopting digital SC models.Originality/valueThis study represents an original and novel contribution from Vietnam as an emerging market to the literature on the impact of COVID-19 on the global value chain. Apart from the unique dataset at the firm level, the analysis of interactions between external and internal drivers of digital SC transformation could provide crucial managerial implications for SMEs to survive major disruptions, such as those caused by the COVID-19 pandemic.

The Need for Speed: How Operation Warp Speed Shifted the Pharma Industry

During the United States government's push for vaccine development and manufacturing (dubbed Operation Warp Speed)-and partly because of it-capital projects struggled to acquire adequate construction materials and equipment. Additionally, video production equipment was leveraged to offer an overview of progress in real time and even perform equipment testing. [...]startups are competing for a few outsourced manufacturing slots. The main solution to limited manufacturing opportunities is to work with a consulting partner who can help them accelerate the process of finding, prequalifying, and negotiating with appropriate and available contract manufacturers.

Deep CNN and LSTM Architecture-Based Approach for COVID-19 Detection

The severe acute respiratory syndrome(SARS-CoV2) led to a pandemic of respiratory disease, namely COVID19. The disease has scaled worldwide and has become a global health concern. Unfortunately, the pandemic not just cost several individuals their lives but also, resulted in many people losing their jobs and life savings. In times like these, ordinary people become fearful of their resources in a world that gives its best resources to the wealthiest beings. Following the pandemic, the world suffered greatly and survival was rather difficult. As a result, numerous analytical techniques were developed to address this issue, with the key one being the discovery that the efficacy of clinically tested vaccines is actually quite poor. When researchers and medical professionals were unable to find a cure, radiologists and engineers created techniques to detect infected chests with the help of X-rays. Our proposed solution involves a CNN + LSTM model which has secured an accuracy of 98% compared to 95% of the trusted VGG-16 architecture. Our model's area under the curve (AUC) scores reached 99.458% while using RMSprop. A crucial feature of image processing till depth is accessible through scanning features from the layers of images using CNN. Our model uses 5 convolution blocks to detect the features. The coordination of activator functions, learning rates, and flattening has enabled accurate in-point predictions. With merely X-rays, models like ours ensure that anyone can easily detect covid-19. The best results obtained were at a learning rate =0.01 with RMSprop and Adam functions. The model has good fortune in detecting any other lung disease which occurs in the near future, as our data collectively rounds up to 4.5 gigabytes of data providing higher precision. © 2023 IEEE.

Automating Biopharma Manufacturing

"With the advance of data science enabling factors such as easy access to scalable memory and computing resources;our growing competence in collecting, storing, and contextualizing data;advances in robotics;[and] the quickly evolving method landscape driven by the open-source community, the benefits of automation and simulation are becoming accessible in the notoriously complicated realm of biopharma manufacturing," says Marcel von der Haar, head of product strategy data analytics at Sartorius. "Plug-and-play" capabilities of automation systems, which enable flexible manufacturing and faster technology transfer, are more important than ever, he says. Walvax Biotech's new COVID-19 mRNA vaccine plant in China is another example of an intelligent and digital plant;it uses Honeywell's batch process control, building and energy management solution systems, and digital twins to monitor assets (5). "Automation brings in the data for machine learning to model the dynamic processes of cell growth and map it against the multiple dimensions provided by advanced sensors," explains Brandl.