Lab leaders can now align with WHO’s new product profile to develop innovative diagnostics that address gaps in newborn infection detection and antimicrobial resistance prevention.
The World Health Organization (WHO) has unveiled a new target product profile aimed at guiding the development of in vitro diagnostic tests for detecting serious bacterial infections in newborns and young infants, including neonatal sepsis—a major cause of infant mortality worldwide. This initiative comes in response to alarming statistics: 2.3 million newborns die every year, with around 15% of these deaths linked to sepsis. The burden is heaviest in low- and middle-income countries, where access to timely diagnosis and treatment remains limited.
Current diagnostic methods such as blood cultures and molecular diagnostics are often inaccessible, expensive, or unreliable, particularly in resource-limited settings. They suffer from low sensitivity, long turnaround times, and high infrastructure demands, making them poorly suited for the urgent needs of frontline healthcare facilities.
Lab Leaders See Shift in Global Standards
For laboratory leaders, WHO’s newly released target product profile for diagnosing serious bacterial infections in newborns and young infants could represent a pivotal shift in global diagnostic standards. As the demand for timely, accurate, and affordable diagnostic tools grows—particularly in low-resource settings—lab leaders have a unique opportunity to play a central role in shaping the next generation of in vitro diagnostics.
The new profile to is designed to define the essential and desirable characteristics of diagnostic tools needed to improve early detection of infections in infants aged 0–59 days. The profile covers two major clinical scenarios: use in primary health care settings and in higher-level hospitals. It’s intended to assist developers, regulators, and public health officials in designing effective tools tailored to diverse healthcare environments.
Yvan Hutin, MD, PhD, Director of the Department of Antimicrobial Resistance at WHO, emphasized the urgency of the effort, stating, “Timely and accurate diagnosis tests for serious bacterial infection is critical to reducing newborn mortality.”
Hutin’s areas of expertise include epidemiology, prevention, care and treatment of viral hepatitis, public health training, economic analyses, and financing. He has co-authored more than 120 articles in peer-reviewed journals. (Photo credit: WHO)
Silvia Bertagnolio, MD, Head of the Antimicrobial Resistance Surveillance, Evidence and Laboratory Strengthening Unit at WHO noted, “This new target product profile outlines the essential features needed in diagnostic tools to improve clinical decision-making, reduce unnecessary antibiotic use and prevent antimicrobial resistance, especially in low-resource settings where the burden of neonatal sepsis remains critical.”
Targeted Care
In many communities, healthcare workers must make critical decisions about antibiotic treatment or hospital referrals based on clinical judgment alone, without reliable diagnostics. The new tools envisioned by WHO would help identify which infants truly need antibiotics or hospitalization, allowing for more targeted and effective care.
For laboratory leaders, the release of this target product profile is more than just a technical guideline, it’s a call to action. By aligning their diagnostic development and evaluation efforts with WHO’s outlined priorities, lab leaders can help fill a critical gap in newborn and infant care, particularly in underserved regions. Their expertise will be essential in translating this profile into practical, scalable solutions that improve early detection, guide appropriate treatment, and ultimately save lives. As stewards of innovation and quality in diagnostics, lab leaders are uniquely positioned to drive meaningful progress in the global fight against neonatal infections and antimicrobial resistance.
Hospital laboratories are likely to see an increase in test orders for bacteria-borne infections, such as tuberculosis
The tuberculosis outbreak in Kansas City, Kan., is one of the largest in the US within a one-year period over the past several decades. Hospital laboratories are the front line for detecting these types of infectious diseases.
As of June 6, 2025, the number of reported active cases of tuberculosis (TB) since 2024 was 69 with 62 cases in Wyandotte County and seven cases in nearby Johnson County, both in Kansas, according to the latest available data as of this writing from the Kansas Department of Health and Environment.
An active TB infection is one in which patients are symptomatic, in need of immediate treatment, and contagious. These patients have typically had a positive TB blood or skin test and may have had an abnormal chest x-ray or positive sputum smear or culture.
The latest statistics show there are 97 cases of latent TB infections reported in the same counties. Latent TB infections are those where patients are asymptomatic but have had a positive TB test, a normal chest x-ray, and a negative sputum smear.
Although individuals with latent infections cannot transmit the illness to others, these cases may become active without treatment, rendering them potentially dangerous.
“You can think of TB outbreaks like a canary in the coalmine of our public health infrastructure,” David Dowdy, MD, PhD, professor of epidemiology at Johns Hopkins Bloomberg School of Public Health, told The Guardian. “What causes them to happen is a weakening of our public health infrastructure.” (Photo copyright: Johns Hopkins Medicine.)
Cause of Outbreak Remains Unknown
This TB outbreak was first identified in Kansas last year and its origin is unknown. Two people have died from the infection, but the risk to the public remains low.
“It’s definitely more than just a little blip,” David Dowdy, MD, PhD, professor of epidemiology at Johns Hopkins Bloomberg School of Public Health, told The Guardian. “It’s one of the largest outbreaks of tuberculosis that we’ve seen in the country in the past 30, 40, 50 years.”
TB in humans can be caused by two types of mycobacteria: Mycobacterium tuberculosis and Mycobacterium bovis. The former is the most common cause of the disease. The pathogen is airborne and is transmitted via respiratory droplets produced by coughing, sneezing, or speaking.
TB usually attacks the lungs, but other parts of the body can be affected as well. According to the Centers for Disease Control and Prevention, symptoms of the disease include:
Cough that lasts more than three weeks.
Coughing up blood or sputum.
Fever and chills.
Loss of appetite.
Weight loss.
Night sweats.
Weakness or fatigue.
Chest pains.
Each patient in the Kansas outbreak has been screened and contact traced. Testing is being provided free of charge. TB is treatable via antibiotics, and more than 85% of infected individuals fully recover with treatment.
TB is Relatively Common
Although curable and preventable, TB is one of the world’s deadliest infectious diseases. According to the World Health Organization, an estimated 10.8 million people contracted TB in 2023, and 1.25 million people died from the disease that year. Fewer than 10,000 of the cases occurred in the US.
“I think the first misconception about TB is that it’s a rare and uncommon disease. We think of it as something that doesn’t really impact us anymore in 2025, but TB has been here, is here, and it’s something that’s relatively common,” said Michael Bernstein, MD, director of pulmonary and critical care at Stamford Health, Stamford, Conn., in the American Journal of Managed Care. “So, the fact that we would see a TB outbreak doesn’t surprise most pulmonologists.”
Clinical laboratories should monitor localized TB outbreaks as they are at the forefront for testing and detecting infectious diseases. Hospital labs may want to prepare for an upsurge in patients arriving with tuberculosis and other bacterial infections in the future.
These advances in the battle against cancer could lead to new clinical laboratory screening tests and other diagnostics for early detection of the disease
As Dark Daily reported in part one of this story, the World Economic Forum (WEF) has identified 12 new breakthroughs in the fight against cancer that will be of interest to pathologists and clinical laboratory managers.
As we noted in part one, the WEF originally announced these breakthroughs in an article first published in May 2022 and then updated in October 2024. According to the WEF, the World Health Organization (WHO) identified cancer as a “leading cause of death globally” that “kills around 10 million people a year.”
The WEF is a non-profit organization base in Switzerland that, according to its website, “engages political, business, academic, civil society and other leaders of society to shape global, regional and industry agendas.”
Monday’s ebrief focused on four advances identified by WEF that should be of particular interest to clinical laboratory leaders. Here are the others.
Personalized Cancer Vaccines in England
The National Health Service (NHS) in England, in collaboration with the German pharmaceutical company BioNTech, has launched a program to facilitate development of personalized cancer vaccines. The NHS Cancer Vaccine Launch Pad will seek to match cancer patients with clinical trials for the vaccines. The Launch Pad will be based on messenger ribonucleic acid (mRNA) technology, which is the same technology used in many COVID-19 vaccines.
The BBC reported that these cancer vaccines are treatments, not a form of prevention. BioNTech receives a sample of a patient’s tumor and then formulates a vaccine that exposes the cancer cells to the patient’s immune system. Each vaccine is tailored for the specific mutations in the patient’s tumor.
“I think this is a new era. The science behind this makes sense,” medical oncologist Victoria Kunene, MBChB, MRCP, MSc (above), trial principal investigator from Queen Elizabeth Hospital Birmingham (QEHB) involved in an NHS program to develop personalized cancer vaccines, told the BBC. “My hope is this will become the standard of care. It makes sense that we can have something that can help patients reduce their risk of cancer recurrence.” These clinical trials could lead to new clinical laboratory screening tests for cancer vaccines. (Photo copyright: Queen Elizabeth Hospital Birmingham.)
Seven-Minute Cancer Treatment Injection
NHS England has also begun treating eligible cancer patients with under-the-skin injections of atezolizumab, an immunotherapy marketed under the brand name Tecentriq, Reuters reported. The drug is usually delivered intravenously, a procedure that can take 30 to 60 minutes. Injecting the drug takes just seven minutes, Reuters noted, saving time for patients and cancer teams.
The drug is designed to stimulate the patient’s immune system to attack cancer cells, including breast, lung, liver, and bladder cancers.
AI Advances in India
One WEF component—the Center for the Fourth Industrial Revolution (C4IR)—aims to harness emerging technologies such as artificial intelligence (AI) and virtual reality. In India, the organization says the Center is seeking to accelerate use of AI-based risk profiling to “help screen for common cancers like breast cancer, leading to early diagnosis.”
Researchers are also exploring the use of AI to “analyze X-rays to identify cancers in places where imaging experts might not be available.”
Using AI to Assess Lung Cancer Risk
Early-stage lung cancer is “notoriously hard to detect,” WEF observed. To help meet this challenge, researchers at Massachusetts Institute of Technology (MIT) developed an AI model known as Sybil that analyzes low-dose computed tomography scans to predict a patient’s risk of getting the disease within the next six years. It does so without a radiologist’s intervention, according to a press release.
Using Genomics to Identify Cancer-Causing Mutations
In what has been described as the “largest study of whole genome sequencing data,” researchers at the University of Cambridge in the UK announced they have discovered a “treasure trove” of information about possible causes of cancer.
Using data from England’s 100,000 Genomes Project, the researchers analyzed the whole genome sequences of 12,000 NHS cancer patients.
This allowed them “to detect patterns in the DNA of cancer, known as ‘mutational signatures,’ that provide clues about whether a patient has had a past exposure to environmental causes of cancer such as smoking or UV light, or has internal, cellular malfunctions,” according to a press release.
The researchers also identified 58 new mutational signatures, “suggesting that there are additional causes of cancer that we don’t yet fully understand,” the press release states.
The study appeared in April 2022 in the journal Science.
Validation of CAR-T-Cell Therapy
CAR-T-cell therapy “involves removing and genetically altering immune cells, called T cells, from cancer patients,” WEF explained. “The altered cells then produce proteins called chimeric antigen receptors (CARs), which can recognize and destroy cancer cells.”
The therapy appeared to receive validation in 2022 when researchers at the University of Pennsylvania published an article in the journal Nature noting that two early recipients of the treatment were still in remission after 12 years.
However, the US Food and Drug Administration (FDA) announced in 2023 that it was investigating reports of T-cell malignancies, including lymphoma, in patients who had received the treatment.
WEF observed that “the jury is still out as to whether the therapy is to blame but, as a precaution, the drug packaging now carries a warning.”
Breast Cancer Drug Repurposed for Prevention
England’s NHS announced in 2023 that anastrozole, a breast cancer drug, will be available to post-menopausal women to help reduce their risk of developing the disease.
“Around 289,000 women at moderate or high risk of breast cancer could be eligible for the drug, and while not all will choose to take it, it is estimated that if 25% do, around 2,000 cases of breast cancer could potentially be prevented in England, while saving the NHS around £15 million in treatment costs,” the NHS stated.
The tablet, which is off patent, has been used for many years to treat breast cancer, the NHS added. Anastrozole blocks the body’s production of the enzyme aromatase, reducing levels of the hormone estrogen.
Big Advance in Treating Cervical Cancer
In October 2024, researchers announced results from a large clinical trial demonstrating that a new approach to treating cervical cancer—one that uses currently available therapies—can reduce the risk of death by 40% and the risk of relapsing by 36%.
“This is the biggest improvement in outcome in this disease in over 20 years,” said Mary McCormack, PhD, clinical oncologist at the University College London and lead investigator in the trial.
The scientists published their findings in The Lancet.
Pathologists and clinical lab managers will want to keep track of these 12 breakthrough advancements in the diagnosis and treatment of cancer highlighted by the WEF. They will likely lead to new screening tests for the disease and could save many lives.
With FDA clearance already approved, hospital infection control teams and their clinical laboratories may have another diagnostic tool for diagnosing blood infections
Controlling sepsis in hospitals continues to be a major concern in nations around the world, including in the United States. Now, a new 10-minute clinical laboratory blood test that uses artificial intelligence (AI) and digital images to spot biomarkers of the potentially fatal condition may soon be available for use in hospitals. The test, which was approved to be marketed in the US in 2022 by the federal Food and Drug Administration (FDA), may be “one of the most important breakthroughs in modern medical history,” according to US researchers, Good News Network (GNN) reported.
“Early detection of sepsis is an invaluable capability for healthcare professionals. Quickly identifying sepsis is critical to saving lives, but until now, we’ve lacked a reliable tool to either recognize the condition or explore alternate diagnoses,” said O’Neal in an LSU press release.
“IntelliSep is truly a game changer,” said Hollis O’Neal, MD (above), Associate Professor of Medicine at Louisiana State University Health Sciences Center in Baton Rouge. “The test provides hospital staff with information needed to identify and treat septic patients efficiently and reduce the financial and health burdens of overtreatment for hospitals and patients.” Clinical laboratories may have a new blood test for sepsis by the end of the year. (Photo copyright: Louisiana State University.)
How IntelliSep Works
The IntelliSep test analyzes blood samples extracted from emergency room patients who present with sepsis symptoms by squeezing white blood cells through a tiny tube to determine how the cells react and if they change shape. White blood cells in patients with sepsis are softer and spongier and their shape compresses and elongates, increasing the likelihood of developing sepsis.
Images are taken of the cells using an ultra-high-speed camera that can capture up to 500,000 frames per second. The images are the analyzed by an AI-powered computer which calculates the total number of elongated white blood cells to determine if sepsis is present.
IntelliSep then separates patients into three bands of risk for developing sepsis:
Band 1 (low)
Band 2 (medium)
Band 3 (high)
Results of the test are available to emergency room personnel in less than 10 minutes.
“Sepsis is notorious as the ‘silent killer’ because it is so easily missed early on, when a patient’s symptoms can often be mistaken for other less serious illnesses,” Michael Atar, PhD, DDS, Associate Professor, Pediatric Dentistry at New York University told Good News Network. “Rapid diagnosis and treatment is crucial to a good outcome, but there has never been a single, reliable diagnostic test available to doctors, costing precious time and people’s lives.”
Atar is a lead medical technology investor and an advisor to Cytovale.
‘Holy Grail’ of Sepsis Diagnosis
To complete the IntelliSep study, researchers enrolled 1,002 ER patients who presented with signs of sepsis. IntelliSep correctly identified patients who did not have sepsis with an accuracy rate of 97.5%. The technology showed an accuracy rate of 55% for positive sepsis results. Researchers also used IntelliSep to quickly diagnose and assess the severity of a sepsis infection.
There were no sepsis deaths reported in patients with low-risk scores. This indicates the test could help physicians rule out sepsis and seek other diagnoses for those patients.
“Cytovale’s IntelliSep device is, by any objective measure, the ‘holy grail’ that the medical community has been so desperate to find,” Atar told Good News Network. “The technology behind it is genuinely groundbreaking and it has the real-world, tried-and-tested potential to save millions of lives, year on year, across the planet.”
The technology is currently being used in a few hospitals in Louisiana and the inventors hope to have it available in at least 10 other hospitals by the end of the year.
Our Lady of the Lake Regional Medical Center, a not-for-profit Catholic healthcare ministry located in Baton Rouge, was one of the first hospitals to implement IntelliSep.
“Cytovale’s innovative technology will help drastically decrease the number of sepsis-related deaths in hospital settings, and we are honored that, since day one, we have been a part of the research that led to this technology,” said Chuck Spicer, President of Our Lady of the Lake Health in a news release.
Saint Francis Medical Center in Monroe, La., announced on September 3 that it has started using the IntelliSep test in its emergency rooms and staff are impressed by the impact on hospital efficiency.
“If it turns out negative then you don’t have to treat as many patients as you did before, which runs up costs, hospital bills and causes people to be in the hospital for longer periods of time,” said pulmonary disease physician Thomas Gullatt, MD, President, St. Francis Health, told KNOE News.
Patient Expectations for Treatment
Sepsis, also known as septicemia or blood poisoning, is a serious medical condition that occurs when the body improperly reacts to an infection or injury. The dangerous reaction causes extensive inflammation throughout the body and, if not treated early, can lead to organ failure, tissue damage, and even death.
The Centers for Disease Control and Prevention (CDC) reports at least 1.7 million adults develop sepsis annually in the US and at least 350,000 die as a result of the condition. It also states sepsis is one of the main reasons people are readmitted to hospitals.
Clinical laboratories should be aware of developments in the use of this new diagnostic assay and how it is aiding the diagnosis, antibiotic selection, and monitoring of patients with this deadly infection. Patients often learn about new technologies and come to their hospital or provider expecting to be treated with these innovations.
Study findings could lead to new clinical laboratory diagnostics that give pathologists a more detailed understanding about certain types of cancer
New studies proving artificial intelligence (AI) can be used effectively in clinical laboratory diagnostics and personalized healthcare continue to emerge. Scientists in the UK recently trained an AI model using machine learning and deep learning to enable earlier, more accurate detection of 13 different types of cancer.
DNA stores genetic information in sequences of four nucleotide bases: A (adenine), T (thymine), G (guanine) and C (cytosine). These bases can be modified through DNA methylation. There are millions of DNA methylation markers in every single cell, and they change in the early stages of cancer development.
One common characteristic of many cancers is an epigenetic phenomenon called aberrant DNA methylation. Modifications in DNA can influence gene expression and are observable in cancer cells. A methylation profile can differentiate tumor types and subtypes and changes in the process often come before malignancy appears. This renders methylation very useful in catching cancers while in the early stages.
However, deciphering slight changes in methylation patterns can be extremely difficult. According to the scientists, “identifying the specific DNA methylation signatures indicative of different cancer types is akin to searching for a needle in a haystack.”
Nevertheless, the researchers believe identifying these changes could become a useful biomarker for early detection of cancers, which is why they built their AI models.
“Computational methods such as this model, through better training on more varied data and rigorous testing in the clinic, will eventually provide AI models that can help doctors with early detection and screening of cancers,” said Shamith Samarajiwa, PhD (above), Senior Lecturer and Group Leader, Computational Biology and Genomic Data Science, Imperial College London, in a news release. “This will provide better patient outcomes.” With additional research, clinical laboratories and pathologists may soon have new cancer diagnostics based on these AI models. (Photo copyright: University of Cambridge.)
The researchers then used a combination of machine learning and deep learning techniques to train an AI algorithm to examine DNA methylation patterns of the collected data. The algorithm identified and differentiated specific cancer types, including breast, liver, lung and prostate, from non-cancerous tissue with a 98.2% accuracy rate. The team evaluated their AI model by comparing the results to independent research.
In their Biology Methods and Protocols paper, the authors noted that their model does require further training and testing and stressed that “the important aspect of this study was the use of an explainable and interpretable core AI model.” They also claim their model could help medical professionals understand “the underlying mechanisms that contribute to the development of cancer.”
Using AI to Lower Cancer Rates Worldwide
According to the Centers for Disease Control and Prevention (CDC), cancer ranks as the second leading cause of death in the United States with 608,371 deaths reported in 2022. The leading cause of death in the US is heart disease with 702,880 deaths reported in the same year.
Globally cancer diagnoses and death rates are even more alarming. World Health Organization (WHO) data shows an estimated 20 million new cancer cases worldwide in 2022, with 9.7 million persons perishing from various cancers that year.
The UK researchers are hopeful their new AI model will help lower those numbers. They state in their paper that “most cancers are treatable and curable if detected early enough.”
More research and studies are needed to confirm the results of this study, but it appears to be a very promising line of exploration and development of using AI to detect, identify, and diagnose cancer earlier. This type of probing could provide pathologists with improved tools for determining the presence of cancer and lead to better patient outcomes.
