Ongoing increases in the global number of prostate cancer cases expected to motivate test developers to deliver better screening tests to pathologists and clinical lab scientists
No less an authority than the peer-reviewed healthcare journal The Lancet is drawing attention to predictions of increasing prostate cancer cases across the globe, triggering calls for the development of cheaper, faster, and more accurate assays that pathologists and medical laboratories can use to screen for—and diagnose—prostate cancer.
Swift population growth and rising life expectancy will cause the prostate cancer death rate to nearly double in the next 20 years, according to a new study that has led scientists to call for immediate, critical improvements in clinical laboratory testing for cancer screening, Financial Times (FT) reported.
“Low- and middle-income countries need to prepare to prevent a sharp rise in fatalities while richer nations should pay more attention to young men at higher risk of the disease,” FT noted. The study, titled, “The Lancet Commission on Prostate Cancer: Planning for the Surge in Cases,” predicts cases will jump from 1.4 million in 2020 to 2.9 million by 2040.
“Prostate cancer is the most common cancer in men in 112 countries, and accounts for 15% of cancers. In this Commission, we report projections of prostate cancer cases in 2040 on the basis of data for demographic changes worldwide and rising life expectancy. … This surge in cases cannot be prevented by lifestyle changes or public health interventions alone, and governments need to prepare strategies to deal with it,” the study authors wrote.
“The findings in this Commission provide a pathway forward for healthcare providers and funders, public health bodies, research funders, governments, and the broader patient and clinical community,” the authors noted. In their Lancet paper, the researchers define clear areas for improvement.
Given the shortage worldwide of pathologists—especially highly-trained pathologists—the gap between the demand/need for expanded prostate cancer testing as screens (along with prostate biopsies) and the available supply of pathologists will encourage companies to develop screening and diagnostic tests that are accurate and automated, thus increasing the productivity of the available pathologists.
“As more and more men around the world live to middle and old age, there will be an inevitable rise in the number of prostate cancer cases. We know this surge in cases is coming, so we need to start planning and take action now,” said Nick James, PhD (above), Professor of Prostate and Bladder Cancer Research at The Institute of Cancer Research, in a press release. Pathologists and medical laboratories worldwide will want to monitor progress of The Lancet Commission’s recommendations. (Photo copyright: Institute of Cancer Research.)
“Evidence-based interventions, such as improved early detection and education programs, will help to save lives and prevent ill health from prostate cancer in the years to come. This is especially true for low- and middle-income countries (LMICs) which will bear the overwhelming brunt of future cases,” he said in a press release.
Communication is key. “Improved outreach programs are needed to better inform people of the key signs to look out for and what to do next,” James N’Dow, MD, Professor and Chair in Surgery and Director of the Academic Urology Unit at the University of Aberdeen in the UK, told the Financial Times. “Implementing these in tandem with investments in cost-effective early diagnostic systems will be key to preventing deaths,” he added.
Capitalizing on artificial intelligence (AI) analysis to help translate results was another area The Lancet Commission researchers focused on, Financial Times noted.
AI could “subdivide disease into potentially valuable additional subgroups to help with treatment selection. In environments with few or no pathologists, these changes could be transformational,” the study authors wrote.
High Income Countries (HICs) would benefit from AI by empowering patients. “Linking cloud-based records to artificial intelligence systems could allow access to context-sensitive, up-to-date advice for both patients and health professionals, and could be used to drive evidence-based change in all settings,” the study authors added. Such a trend could lead to specialist prostate cancer pathologists being referred cases from around the world as digital pathology systems become faster and less expensive.
Effective treatment strategies and bolstering areas of need is also key, the study notes. “Many LMICs have urgent need for expansion of radiotherapy and surgery services,” the study authors wrote. The researchers stress the need to immediately implement expansion programs to keep up with anticipated near-future demand.
Cancer drug therapy should follow suit.
“Research and the development of risk-stratified regulatory models need to be facilitated,” the study authors noted, citing a focus on drug repurposing and dose de-escalation. “Novel clinical trial designs, such as multi-arm platforms, should be supported and expanded,” they added.
Unique Needs of LMICs, HICs
The Lancet Commission researchers’ recommendations shift depending on the financial health of a specific area. HICs are experiencing a 30-year decline in the number of deaths resulting from prostate cancer, presumably from additional testing measures and public health campaigns that may be lacking in LMICs, Financial Times reported. And as population growth soars, low-to-middle income populations “will need to be prepared for the strain the expected surge in cases will put on health resources.”
For HICs, the study dissected the limitations of prostate-specific antigen (PSA) testing. The researchers pointed out that PSA’s inaccuracies in screening symptomless patients can pinpoint “cancers that may never cause symptoms and need no treatment,” Financial Times reported.
Missing high-risk cases was also a cause for concern. “Diagnostic pathways should be modified to facilitate early detection of prostate cancer while avoiding overdiagnosis and overtreatment of trivial disease,” the study notes.
Screenings for high-risk younger men, and continuing public campaigns about prostate cancer, should be a focus for HICs, the study authors noted. “These would include people who have a family history of the disease, are of African ancestry, or carry a genetic mutation known as BRCA2,” Financial Times reported.
While the undertaking may sound intimidating—there is already such a heavy impact worldwide from prostate cancer—the researchers are optimistic of their recommendations.
“Options to improve care are already available at moderate cost. We found that late diagnosis is widespread worldwide, but especially in LMICs, where it is the norm. Early diagnosis improves prognosis and outcomes, and reduces societal and individual costs, and we recommend changes to the diagnostic pathway that can be immediately implemented,” the study authors wrote.
What Comes Next
“More research is needed among various ethnic groups to expand understanding of prostate cancer beyond the findings from studies that were largely based on data from white men,” The Lancet Commission told the Financial Times.
Astute pathologists and medical laboratories will want to monitor efforts to develop assays that are inexpensive, more accurate, and produce faster answers. Demand for these tests will be substantial—both in developed and developing nations.
This AI platform has the potential to also reduce workload of radiologists, but also of anatomic pathologists and oncologists allowing them to be more productive
When the UK’s National Health Service (NHS) recently tested an artificial intelligence (AI) platform’s ability to analyze mammograms, the AI found early signs of breast cancer that “human doctors” had previously missed, the BBC reported. This level of ability by AI might soon be adapted to aid overworked anatomic pathologists and cancer doctors in the United Kingdom.
Out of 10,000 mammograms MIA analyzed, the AI platform found “tiny signs of breast cancer in 11 women” which had not been spotted during earlier examinations, the BBC noted, adding that the cancers “were practically invisible to the human eye.”
This is a significant development in AI’s role in healthcare. Anatomic pathologists and clinical laboratory leaders will note that ongoing advancements in AI are enabling technology developers to apply their solutions to assessing radiology images, as well as in whole slide imaging used in digital pathology. In the UK, use of AI, the BBC noted, may also help ease doctor’s workloads.
“This is just the beginning of our work with Kheiron,” said Ben Glocker, PhD (above), Professor in Machine Learning for Imaging at Imperial College London and Head of ML Research at Kheiron Medical, in a news release. “We are actively working on new methodologies for the safe deployment and continuous monitoring of MIA to support a US and UK rollout. We are working hard to make sure that as many women as possible will benefit from the use of this new technology within the next year.” AI tools such as MIA may soon take much of the load from anatomic pathologists and radiologists. (Photo copyright: Imperial College London.)
MIA Cloud-based AI Platform
Kheiron was founded in 2016 and MIA was named one of the seven biggest medical breakthroughs in 2023 by ABC News. A study conducted by Imperial College London in 2023 found that MIA “could significantly increase the early detection of breast cancers in a European healthcare setting by up to 13%,” according to an Imperial news release.
“The study was conducted over three phases (two pilot phases and a live roll-out). Overall across the three phases, the AI reader found 24 more cancers than the standard human reading—a 7% relative increase—and resulted in 70 more women recalled (0.28% relative increase),” the news release reported. “Of the additional recalls, six (initial pilot), 13 (extended pilot), and 11 (live use) additional cancers were found, increasing relative cancer detection rate by 13%, 10%, and 5% respectively. [The researchers] found that 83% of the additional cancers detected using MIA in real clinical practice were invasive, showing that MIA can detect cancers where early detection is particularly vital.”
Supported by Microsoft’s Azure Cloud, MIA came together over six years based on training encompassing millions of mammograms worldwide, Healthcare Digital reported.
“AI tools are generally pretty good at spotting symptoms of a specific disease if they are trained on enough data to enable them to be identified. This means feeding the program with as many different anonymized images of those symptoms as possible, from as diverse a range of people as possible,” Sarah Kerruish, Chief Strategy Officer, Kheiron, told Healthcare Digital.
MIA has been trained to “recognize subtle patterns and anomalies” that can point to “cancerous cells even in their earliest stages of development,” Dataconomy reported.
MIA Finds Early Cancer Signs
In the pilot study, MIA examined mammograms from 10,889 women. Each image had previously been reviewed by two radiologists, the BBC reported.
Findings include the following according to Healthcare Digital:
MIA “flagged” all people the physicians previously identified with symptoms.
The AI platform discovered 11 people with cancer the doctors did not identify.
The cancer MIA discovered—and the doctors did not—suggested cancer in early stages.
So, how did the doctors miss the cancer that MIA spotted? Gerald Lip, MD, Clinical Director for Breast Screening in North East Scotland who led the pilot study for the NHS, told Healthcare Digital, “part of the power of AI is it’s not prone to exhaustion or distraction.
“There is an element of fatigue,” he said. “You get disruptions, someone’s coming in, someone’s chatting in the background. There are lots of things that can probably throw you off your regular routine as well. And in those days when you have been distracted, you go, ‘how on earth did I miss that?’ It does happen.”
Lip is also the Chief Investigator in the Mammography Artificial Intelligence Project in the Industrial Center for Artificial Intelligence and Digital Diagnostics in Scotland.
“I see MIA as a friend and an augmentation to my practice,” he told Healthcare Digital. “MIA isn’t perfect. It had no access to patient history so [it] would flag cysts that had already been identified by previous scans and designated harmless.”
AI as a Safety Net
In the 2023 study, researchers from Imperial College London deployed MIA as an extra reader for mammograms of 25,065 women who visited screening sites in Hungary between April 2021 and January 2023, according to a news release.
“Our prospective real-world usage data in Hungary provides evidence for a significant, measurable increase of early breast cancer detection when MIA is used in clinical practice,” said Peter Kecskemethy, PhD, CEO and co-founder of Kheiron Medical, in the news release.
“Our study shows that AI can act as an effective safety net—a tool to prevent subtler signs of cancer from falling through the cracks,” said Ben Glocker, PhD, Professor in Machine Learning for Imaging at Imperial College London and Head of ML Research at Kheiron Medical, in the news release.
More studies are needed before MIA can be used in clinical settings. Nevertheless, use of AI in radiology—specifically mammograms—where the AI tool can identify very small cancers typically undetectable by radiologists, would be a boon to cancer doctors and the patients they treat.
So far, the research suggests that the AI-powered MIA has benefits to deployment in breast cancer screening. Eventually, it may also make impressive contributions to medical diagnosis and patient care, particularly if MIA eventually proves to be effective at analyzing the whole slide images used by anatomic pathologists.
As the cancer registry expands it will increasing become more useful to anatomic pathologists, histopathologists, oncologists, and even clinical laboratories
Oncologists, histopathologists, anatomic pathologists, and other cancer physicians now have a powerful new Wikipedia-style tumor registry to help them with their diagnoses and in educating patients on their specific types of cancer. Clinical laboratory managers may find it useful to understand the value this searchable database, and it can help their staff pathologists as well.
Free to use by both physicians and patients the World Tumor Registry (WTR) is designed “to minimize diagnostic errors by giving doctors a searchable online database of cancers that have been collected and categorized with cellular images collected from around the world,” Pittsburg-Post Gazette reported.
Prompt, accurate cancer diagnoses offer cancer patients the best chance for optimal treatment outcomes. However, many medical professionals around the globe do not have the training and resources to offer superior cancer diagnoses. That deficiency can translate to inferior treatment options and lower survival rates among cancer patients.
To help improve cancer diagnoses, pathologist Yuri E. Nikiforov, MD, PhD, Division Director, Molecular and Genomic Pathology, Vice Chair of the Department of Pathology, and Professor of Pathology, University of Pittsburgh, developed the WTR to provide educational and practical resources for individuals and organizations involved in cancer research.
Officially announced at the United States and Canadian Academy of Pathology (USCAP) annual convention, the WTR is an open-access catalog of digital microscopic images of human cancer types and subtypes.
The lower cost of technology and improved speed of access via the internet are technologies enabling this effort.
“We are creating sort of a Wikipedia for cancer images,” said Alyaksandr V. Nikitski, MD, PhD (above), Research Assistant Professor of Pathology, Division of Molecular and Genomic Pathology at Pittsburg School of Medicine and Administrative Director of the WTR, in an exclusive interview with Dark Daily. “Anyone in the world, if they can access the internet, can look at the well-annotated, diagnostic digital slides of cancer,” said Nikitski. Clinical laboratories may also find this new pathology tool useful. (Photo copyright: Alyaksandr V. Nikitski)
Minimizing Diagnostic Errors
Based in Pittsburgh, the WTR is freely available to anyone for viewing digital pathology slides of known cancer tumors as well as borderline and questionable cases. On the website, individuals can search for pictures of tumors in the registry by diagnosis, specific cohorts, and by microscopic features. Individuals may search further by tumor type and subtype to receive a picture of related tumors.
According to the WTR website, the mission of the nonprofit “is to minimize diagnostic errors, eliminate inequality in cancer recognition, diagnosis, and treatment in diverse populations, and improve outcomes by increasing access to the diagnostic pathology expertise and knowledge of microscopic characteristics of cancers that occur in different geographic, environmental, and socio-economic settings.”
This new comprehensive initiative will eventually encompass cancer images from all over the world.
“Let’s assume that I am a pathologist or a trainee who has little experience, or I don’t have access to collections of atypical tumors,” Nikitski explained. “I can view tumor collections online [in the WTR database] and check how typical and rare tumors look in various geographic regions and environmental settings.”
Once an image of a slide is selected, users will then receive a brief case history of the tumor in addition to such data as the age of the patient, their geographic location, sex, family history of the disease, and the size and stage of the tumor.
Increasing Probability of Correct Diagnosis
Pathologists and clinicians may also predict the probability of a particular diagnosis by searching under the microscopic feature of the database. This feature utilizes an innovative classifier known as PathDxFinder, where users may compare a slide from their lab to slides in the database by certain criteria. This includes:
After completing the questions above, the user presses the “predict diagnosis” button to receive the probability of cancer and most likely diagnosis based on the answers provided in the questionnaire.
WTR Editorial Boards
The WTR represents collections for each type of cancer site, such as lung or breast. A chairperson and editorial board are responsible for reviewing submitted slides before they are placed online. The editorial boards include 20 pathologists who are experts in diagnosing cancer categories, Nikitski explained.
Thousands of identified microscopic whole slide images (WSI) representing various types of cancer are deposited by the editors and other contributors to the project. The editorial board then carefully analyzes and compiles the data before posting the images for public viewing.
The editorial boards are located in five world regions:
Africa and the Middle East
Asia and Oceania
Central and South America
North America and Europe
Northern Asia
Any physicians or pathologists can contribute images to the database, by “simply selecting the editor of their region on the website, writing their name, and asking if they can submit tumor cases,” Nikitski stated.
“We have established a platform that allows pathologists to contact editors who are in the same geographic region,” he added.
Helping Physicians Identify Cancer Types
In a YouTube video, Nikiforov states that the WTR is an “educational nonprofit organization rooted in [the] beliefs that every cancer patient deserves accurate and timely diagnosis as the first and essential step in better treatment and outcomes.”
“We believe this can be achieved only when modern diagnostic tools and technologies are freely available to every physician and pathologist. Only when we understand how microscopic features of cancer vary in different geographic, environmental and ethnic populations, and only by integrating histopathology with clinical immunohistochemical and molecular genetic information for every cancer type,” he stated.
Since patient privacy is important, the database contains only basic data about patients, and all patient information is protected.
Launched in March, there are currently more than 400 thyroid tumor slides available to view in the online database. At the time of the announcement, the WTR platform was planned to be implemented in three phases:
Thyroid cancer (released in March of this year).
Lung cancer and breast cancer (anticipated to be completed by the third quarter of 2026).
Remaining cancers, including brain, soft tissue and bone, colorectal, head and neck, hematolymphoid, female genital, liver, pancreatic, prostate and male genital, skin, urinary system, pediatric, other endocrine cancers, and rare cancers (anticipated to be completed by the end of 2029).
“We believe that this resource will help physicians and pathologists practicing in small or big or remote medical centers to learn how cancer looks under a microscope in their own communities,” Nikiforov said in the video. “We also see WTR as a platform that connects physicians and scientists from different parts of the world who can work together to better understand and treat cancer.”
Catalogs like the World Tumor Registry might potentially create a pool of information that that could be mined by analytical and artificial intelligence (AI) platforms to ferret out new ways to improve the diagnosis of certain types of cancer and even enable earlier diagnoses.
“It is an extremely useful resource,” Nikitski said.
Anatomic pathologists will certainly find it so. And clinical laboratory managers may find the information useful as well when interacting with histopathologists and oncologists.
Trifecta of forces at work that will affect the clinical laboratory and pathology industries have been described as a ‘perfect storm’ requiring lab and practice managers to be well informed
Digital pathology, artificial intelligence (AI) in healthcare, and the perfect storm of changing federal regulations, took centerstage at the 29th Executive War College on Diagnostics, Clinical Laboratory, and Pathology Management in New Orleans this week, where more than 1,000 clinical laboratory and pathology leaders convened over three days.
This was the largest number of people ever onsite for what has become the world’s largest event focused exclusively on lab management topics and solutions. Perhaps the highlight of the week was the federal Food and Drug Administration’s (FDA’s) announcement of its final rule on Laboratory Developed Tests (LDTs). Overall, the conference featured more than 120 speakers, many of them national thought leaders on the topic of clinical lab and pathology management. More than 65% of the audience onsite were executive level lab managers.
“The level of interest in the annual Executive War College is testimony to the ongoing need for dynamic, engaging, and highly relevant conference events,” said Robert Michel (above), Editor-in-Chief of Dark Daily and its sister publication The Dark Report, and founder of the Executive War College. “These in-person gatherings present great opportunities for clinical laboratory and pathology managers and leaders to network and speak with people they otherwise might not meet.” (Photo copyright: Dark Intelligence Group.)
Demonstrating Clinical Value
For those who missed the action onsite, the following is a synopsis of the highlights this week.
Lâle White, Executive Chair and CEO of XiFin, spoke about the future of clinical laboratory testing and the factors reshaping the industry. There are multiple dynamics impacting healthcare economics and outcomes—namely rising costs, decreasing reimbursements, and the move to a more consumer-focused healthcare. But it is up to labs, she said, to ensure their services are not simply viewed as a commodity.
“Laboratory diagnostics have the potential to change the economics of healthcare by really gaining efficiencies,” she noted. “And it’s up to labs to demonstrate clinical value by helping physicians manage two key diagnostic decision points—what tests to order, and what to do with the results.”
But even as labs find ways to increase the value offered to clinicians, there are other disruptive factors in play. Consumer-oriented tech companies such as Google, Apple, and Amazon are democratizing access to patient data in unforeseen ways, and Medicare Advantage plans are changing the way claims are processed and paid.
Clinical labs are fundamental components of the public health infrastructure. So, the CDC plans on focusing on delivering high-quality laboratory science, supported by reliable diagnostics and informatics for disease outbreaks and exposures, and engaging with public and private sector partners.
The history of MolDX and Z-Codes were the topics discussed by Gabriel Bien-Willner, MD, PhD, Chief Medical Officer for healthcare claims and transaction processing company Palmetto GBA. Molecular testing is highly complex, and the lack of well-defined billing codes and standardization makes it difficult to know if a given test is reasonable and necessary.
Z-Codes were established to clarify what molecular testing was performed—and why—prompting payers to require both Z-Codes and Current Procedural Terminology (CPT) codes when processing molecular test claims. Medicare’s MolDX program further streamlines the claims process by utilizing expertise in the molecular diagnostics space to help payers develop coverage policies and reimbursement for these tests.
FDA Final Rule on LDT Regulation
Timothy Stenzel, MD, PhD, CEO of Grey Haven Consulting and former director of the FDA’s Office of In Vitro Diagnostics reviewed the latest updates from the FDA’s Final Rule on LDT (laboratory developed test) regulation. Prior to the FDA releasing its final rule, some experts suggested that the new regulations could result in up to 90% of labs discontinuing their LDT programs, impacting innovation, and patient care.
However, the final rule on LDTs is very different from the original proposed rule which created controversy. The final rule actually lowers the regulatory burden to the point that some labs may not have to submit their LDTs at all. The FDA is reviewing dozens of multi-cancer detection assays, some of which have launched clinically as LDTs. The agency is likely to approve those that accurately detect cancers for which there is no formal screening program.
Stenzel explained the FDA’s plan to down-classify most in vitro diagnostic tests, changing them from Class III to Class II, and exempting more than 1,000 assays from FDA review. He also discussed the highlights of the Quality Management System Regulation (QMSR). Launched in January, the QMSR bought FDA requirements in line with ISO 13485, making compliance easier for medical device manufacturers and test developers working internationally.
Looming Perfect Storm of Regulatory Changes
To close out Day 1, Michel took to the stage again with a warning to clinical laboratories about the looming “Perfect Storm” trifecta—the final FDA ruling on LDTs, Z-Code requirements for genetic testing, and updates to CLIA ’92 that could result in patient data being considered a specimen.
Laboratory leaders must think strategically if their labs are to survive the fallout, because the financial stress felt by labs in recent years will only be exacerbated by macroeconomic trends such as:
Staff shortages,
Rising costs,
Decreasing and delayed reimbursements, and
Tightening supply chains.
Lab administrators looking for ways to remain profitable and prosperous should look beyond the transactional Clinical Lab 1.0 fee-for-service model and adopt Clinical Lab 2.0, which embraces HEDIS (Healthcare Effectiveness Data and Information Set) scores and STAR ratings to offer more value to Medicare Advantage and other payers.
Wednesday’s General Session agenda was packed with information about the rise of artificial intelligence, big data, and precision medicine in healthcare. Taking centerstage on the program’s final day was Michael Simpson, President and CEO of Clinisys. Simpson gave a global perspective on healthcare data as the new driver of innovation in diagnostics and patient care.
The Office of Management and Budget (OMB) concluded its review of the final rule on April 22. Former FDA commissioner Scott Gottlieb, MD, and other regulatory experts expect the White House to send the final rule to Congress as early as late April and no later than May 22.
On Tuesday morning, Lâle White, executive chair and CEO of San Diego’s XiFin, Inc., will present a keynote on new regulations and diagnostics players that are “poised to reshape lab testing.” Her presentation is followed by a general session on Clinical Laboratory Improvement Amendments (CLIA) regulations featuring Salerno Reynolds, PhD., acting director at the U.S. Centers for Disease Control and Prevention (CDC) Center for Laboratory Systems and Response.
Robert Michel, Editor-in-Chief of The Dark Report will wrap day one with a general session on the regulatory trifecta coming soon to all labs, from LDT to CLIA to private payers’ policies for genetic claims.
Innovation in the spotlight
“It’s a rich mix of expert speakers, lab leaders who are doing innovative things in their own organizations, along with the consultants and the lab vendors who are pushing the front edge of laboratory management, operations, and clinical service delivery,” says Michel, who each year creates the agenda for EWC.
Several sessions, master classes, and speakers will look to the future with discussions about how healthcare data drives innovations in diagnostics and patient care, digital pathology adoption around the world, and hot topics such as artificial intelligence (AI), big data and precision medicine.
Panels offer a variety of viewpoints
“One valuable benefit of participating at the Executive War College is the various panel discussions,” Michel says. “Each panel brings together national experts in a specific area of the laboratory profession. As an example, our lab legal panel this year brings together four prominent and experienced attorneys who share opinions, insights, and commentary about relevant issues in compliance, regulations, and contractual issues with health plans and others.”
This allows attendees to experience a breadth of opinions from multiple respected experts in this area, he adds.
For example, a digital pathology panel will bring together representatives from labs, service providers, and the consultants that are helping labs implement digital pathology. The session will be especially helpful to labs that are deciding when to acquire digital pathology tools and how to deploy them effectively to improve diagnostic accuracy, Michel says.
And a managed care panel will feature executives from some of the nation’s biggest health plans—the ones that sit on the other side of the table from labs—to provide insights and guidance on how labs can work more effectively with them.
Networking opportunities abound
The event is about much more than politics and policy, however. There’s also a distinct social aspect.
“Everyone is welcome, and everyone appreciates the camaraderie, so don’t be shy about going up and introducing yourself to someone. The quality of the crowd is top-notch, yet I’ve always experienced a willingness for those of us who have been to this rodeo to always be welcoming,” she notes.
Michel agrees. “One of the special benefits of participation at the EWC is the superb networking interactions and collaboration that takes place,” he says.
“From the first moments that attendees walk into our opening reception on Monday night until the close of the optional workshops on Thursday, one can see a rich exchange happening amongst circles of attendees. Introductions are being made. Connections are developing into business opportunities. The sum of an attendee’s experience at the Executive War College is to gain as much knowledge from the networking and collaboration as they do from the sessions.”
