AI Tool Classifies 102 CNS Tumor Subtypes in Minutes
Researchers at the German Cancer Research Center (DKFZ), Heidelberg University’s Medical Faculty, and Heidelberg University Hospital have developed an AI system called Hetairos that can classify central nervous system (CNS) tumors using routinely prepared and stained tissue sections. The research, published in Nature Cancer, showed that the system can classify 102 molecular tumor subtypes of CNS cancers using digitized H&E slides, delivering diagnostic findings in minutes rather than the days or weeks often required for molecular testing.
“The study shows that artificial intelligence is capable of deriving molecular information directly from routine tissue sections and thus fundamentally changing cancer diagnostics,” said lead author Darui Jin, PhD, a postdoctoral fellow at DKFZ.
CNS tumors encompass a broad range of diseases with substantial molecular and morphological diversity. DNA methylation profiling is currently the gold standard for classifying many brain tumors, but the tests require specialized labs employing expensive analytical tools and require sufficient amount of tumor material, which can be difficult to obtain in some instances. Results from these tests typically take about two weeks to return results. The reliance on molecular testing has also created barriers to diagnosis in some clinical settings.
“Faster and more widely accessible methods are therefore needed,” the researchers wrote. Existing alternatives such as nanopore sequencing also require specialized instruments and tissue preparation. Routine H&E histopathology remains the most widely available diagnostic material worldwide.
The development of Hetairos has been made possible from significant advances in computer vision and digital pathology. Prior research has established that AI algorithms can detect molecular features in tissue samples and classify tumors into molecularly defined categories. The researchers noted that previous research has shown that AI models can estimate methylation signals from standard H&E slides and predict specific molecular alterations, but “an artificial intelligence (AI)-based diagnostic solution for H&E slides that covers the entire spectrum of CNS tumors, as currently only possible with methylation testing, is still missing.”
To develop Hetairos, the team trained and validated the system using more than 11,000 digitized tissue sections from 9,606 patients treated at 11 medical centers across four continents. Diagnoses used for training were primarily established through DNA methylation diagnostics. The resulting model was designed to classify tumors into 102 molecular subtypes that span nearly the entire WHO classification spectrum for CNS tumors.
An important element of the system is it can estimate the level of confidence of its predictions.
“Crucial to Hetairos’s applicability across cohorts are its realistic confidence estimates, which help judge its prediction accuracy,” the researcher wrote. “Depending on the cohort, Hetairos made high-confidence predictions in 50–70% of cases, and those predictions were found to be the correct diagnosis in nearly 90% of instances.”
As it has become custom, the system was also tested directly against human experts. Five board-certified neuropathologists reviewed 210 cases using only tissue sections. Hetairos achieved an accuracy rate of 68%, compared with 30% for the specialists. When the three most likely diagnoses were considered, the AI tool was 84% accurate versus about 50% for the neuropathologists.
“The results show that modern AI systems are now capable of recognizing extremely subtle morphological patterns that are difficult even for experienced specialists to distinguish,” said Felix Sahm, a project leader at DKFZ.
A prospective evaluation of Hetairos in clinical practice analyzed 210 tumor samples alongside routine diagnostics without, but its results weren’t used to influence patient management. While complete molecular testing required an average of about 12 days, Hetairos generated results in approximately 12 minutes after digitized slides were available. Including slide preparation and scanning, findings could often be produced within 24 hours to two days.
This much speedier diagnosis could help clinicians initiate targeted treatments sooner and guide additional testing, but rather than replacing molecular testing, the developers envision Hetairos as a triage and decision-support tool.
“We developed Hetairos primarily as a tool to support diagnostics,” Sahm said. “It is not intended to replace molecular analyses, but rather to specifically complement and accelerate them. The technology could make an important contribution, particularly in countries or regions with limited resources, as it is based on standard tissue sections used worldwide.”
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Implementation of a Web-Based Application (Wellhealth) for Osteoporosis Medication Management in Older Adults: Prospective Feasibility Study
Fast-Acting Malaria Drug Shows Promise in First-in-Human Study
A small-scale clinical study has shown that a new class of antimalarial drug can safely and quickly kill malaria parasites in the blood. Published today in Science Translational Medicine, these early clinical results open the door to much-needed treatment options to fight against malaria infections as cases of drug resistance continue to rise.
“Malaria continues to be responsible for a large global health burden, with an estimated 282 million cases and 610,000 deaths in 2024,” write the authors of the study, led by Stephan Chalon, MD, PhD, vice president of experimental medicine and clinical pharmacology at the nonprofit organization Medicines for Malaria Venture. “Fast-acting antimalarial drugs are needed to address the emergence of artemisinin resistance in Plasmodium falciparum, the major cause of severe malaria worldwide.”
Malaria infections caused by P. falciparum are typically treated with artemisinin-based combination therapy (ACT). As part of this first-line treatment, an artemisinin-derived drug dramatically reduces the numbers of malaria parasites circulating in the blood within a few hours while a companion drug with a slower mode of action eliminates the remaining parasites.
However, artemisinin-resistant malaria infections have been steadily increasing in Southeast Asia, and more recently in East Africa. As resistance spreads, the efficacy of first-line ACT progressively declines, driving an urgent need for fast-acting alternatives to artemisinin-based drugs.
The clinical trial evaluated the safety and tolerability of MMV367, an oral antimalarial drug candidate under development at Medicines for Malaria Venture. The drug belongs to the pyrrolidinamide class, a novel group of fast-acting antimalarials that interfere with two enzymes that are essential for malaria parasites to synthesize long-chain fatty acids.
As part of the study, 12 healthy volunteers were inoculated with P. falciparum and then treated with MMV367 after eight days. Results showed that doses of 20mg or above were able to quickly kill the parasites, with half of them being eliminated within 4.3 hours. The drug also proved safe in all participants, showing only mild side effects in some of them.
No evidence of emerging drug resistance against this novel drug class was found during the study. However, this will need to be confirmed in future studies with a larger patient population and longer follow-up period. While more research will be needed before this drug can reach people affected by malaria worldwide, these early clinical results support its potential as an alternative to artemisinins in antimalarial combination therapies as they increasingly lose efficacy in the face of escalating drug resistance.
As a product development partnership (PDP), Medicines for Malaria Venture works together with major pharmaceutical companies and academic institutions to promote the development of accessible and affordable medicines to treat and prevent malaria with a major focus on addressing the needs of children and pregnant women. Since its inception in 1999, the nonprofit has delivered 19 approved medicines, with many other candidates currently at various stages of clinical development.
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Digital Portal Strengthens Patient Engagement in Cancer Clinical Trials
A digital platform designed to strengthen communication helped keep clinical trial participants engaged in a national oncology study, according to findings published in the journal JNCI Cancer Spectrum. The Participant Engagement Portal (PEP), developed by the Alliance for Clinical Trials in Oncology, was tested as part of the National Cancer Institute-sponsored Multi-Cancer Early Detection Biobank Study (A212102). Among participants who enrolled to use PEP, 84% reported a positive experience, 96% said it was easy to access, 93% found surveys easy to complete, and 93% agreed to be contacted about future research opportunities.
The findings provide a positive snapshot that digital tools designed to address participant needs can help improve their engagement throughout the term of a clinical trail, and aid in the the collection of data that can improve the efficiency and long-term value of oncology trials.
“We were eager to offer trial participants a format to allow connection to the study team,” said Suzanne George, MD, senior author of the study project and professor of medicine at Harvard Medical School. “Nearly all participants who engaged with the tool opted in for recontact for future research which allows the ability to build a research community. PEP gives patients a direct way [to] self-report key data elements, such as specific social and economic factors which may impact a person’s cancer journey.”
The intent in developing PEP was to find new ways to improve the experience of patients enrolled in clinical trials. Digital tools have the ability to simplify access to study materials, streamline data collection, aid in remote patient monitoring, and improve communication between researchers and trial participants. Specifically, PEP was created to improve engagement, which the researchers defined as sustained and beneficial interaction between participants and researchers over the course of the study. Unlike many digital tools focused on recruitment, PEP was designed to help researchers learn directly from patient experiences and maintain communication after trial enrollment.
“Historically, there are very few, if any, instances of trials providing consistent, longitudinal communication back to the patient about the overall clinical trial,” George told Inside Precision Medicine. “The large percentage of people reporting positive experience suggests PEP’s content and delivery methods resonate with them.”
To develop PEP, The Alliance used an iterative user-centered process that included advisory board input, usability testing with 19 patients, including 12 Spanish-speaking participants, and refinement using plain-language and health-literacy principles. Rather than requiring usernames and passwords, participants received secure links by text or email that allowed direct access to portal content and surveys.
The pilot was conducted within the MCED Biobank Study, an ongoing national clinical trial investigating future blood tests for the early detection of cancer. Of the total 2,221 study people enrolled in the trial, 40% chose to use PEP. Of the 899 users, 361 completed demographic questionnaires and 310 completed surveys addressing social determinants of health.
One of the portal’s central features was bidirectional communication that included trial participants receiving study updates, newsletters, and research information. PEP users could also provide feedback and report personal information that could help researchers better understand their experiences. According to George, participant feedback has influenced both the platform’s design and future patient engagement strategies.
“As noted in our manuscript, we conducted one-on-one focused interviews with people to evaluate the PEP on all levels, from communication methods and content to data security and privacy,” she said. “Through these findings, we were able to understand the need to transcreate documents into Spanish for cultural meaning and contextual relevance, rather than just translate them word-for-word.”
Feedback also led researchers to reconsider maintaining study-specific websites.
“Participant feedback substantiated our decision to eliminate dedicated study-specific PEP website(s),” George said. “Instead, we are transitioning to an IRB-approved newsletter format delivered directly to study participants for ongoing communication and education.”
The study also showed that people using PEP were willing to provide information about social determinants of health (SDoH), such as education, insurance status, housing stability, food insecurity, and financial concerns.
“If a trial chooses to formally integrate SDoH metrics, they could be included as protocol-directed surveys done via PEP, making results directly available to the protocol investigators,” George said. “Self-reported information is critical because it allows researchers to look beyond the actual study biology.”
Collecting this kind of information can help identify barriers that may affect treatment adherence, including transportation challenges, childcare responsibilities, and financial stress.
Another notable finding was that community-based practices enrolled a higher proportion of eligible participants into PEP than academic medical centers. The reasons remain under evaluation, but George suggested that established relationships between patients and local care teams may contribute to greater acceptance of the platform.
Further, the researchers found that 98% of participants were open to health-related follow-up communications. The research team believe this is an important outcome because it creates opportunities for future re-engagement and continued participation in research activities.
While the data from the pilot showed meaningful patient engagement, there were some limitations. Participants who enrolled in PEP were more likely to be female and White than the broader study population, raising questions about whether the data would be representative across diverse populations.
“Looking forward, PEP would ideally become a standard core functionality in all oncology studies,” George noted. “However, we will need to continue to expand outreach and continue to engage the participant community, to ensure we are indeed reaching all of those who would like to be part of such a platform.”
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AI Detects Breast Cancer Much Earlier than Radiologists Alone
Using AI, radiologists can see signs of breast cancer up to ten years earlier in the mammograms of patients later diagnosed with the disease, according to new research published this week in Radiology. These findings could help greatly accelerate diagnosis and improve decisions about who to screen sooner and with more regularity—questions that are increasingly important as more younger women are diagnosed with the disease.
The researchers tested three commercially available AI-based computer-assisted detection (AI-CAD) systems on mammogram data from a large screening population. Cancer prediction scores issued by AI-CAD were elevated for a significant number of patients later diagnosed with breast cancer compared to those who remained cancer-free. The team was led by researchers at the Karolinska University Hospital in Stockholm.
“Approximately 20% of breast cancer cases demonstrate mammographic signs that are already visible to AI around six years before diagnosis,” said senior coauthor Fredrik Strand, MD, PhD, of Karolinska. “Our study confirms the potential of AI to, in some cases, find signs of cancer in the mammograms much earlier than when radiologists detected it.”
Earlier diagnosis is crucial in breast cancer, as it is for most malignancies. Although annual breast screening, using mammography, is recommended for women in the U.S. aged 40 to 74, it is known that approximately 20-25% of women show early signs of breast cancer on their scans before they are diagnosed.
Strand’s team investigated AI’s potential to flag mammographic signs that were present up to 10 years in retrospect. The study included a total of 88,963 mammograms performed on 31,394 patients over 10 years—between January 2008 and April 2019. Of these participants, 12,072, or 38.5%, were diagnosed with cancer.
The data came from the Validation of Artificial Intelligence for Breast Imaging (VAI-B) database, which collects breast imaging data from volunteers across four regions of Sweden. The Swedish national breast screening program invites women between the ages of 40 and 74 to participate in screening examinations every two years, and each mammogram has traditionally been read by two radiologists. The average age of screening was 57.6 years.
The AI-CAD systems found many of those cancers at earlier screening points, achieving 90% specificity—distinguishing between a true positive and a true negative result—in up to 17% of patients at 10 years before diagnosis, up to 19.7% six years before diagnosis, up to 25.2% four years before diagnosis, and up to 39.3% two years before diagnosis.
“This study aims to add to the growing literature regarding the application of AI in breast cancer screening and how it can help play a role in earlier detection of breast cancer,” said Strand. “Analyzing the AI scores of screened individuals over time could provide insight into how early detectable changes arise, potentially allowing for earlier intervention.”
Breast cancer is the most commonly diagnosed cancer worldwide. It accounts for roughly 30% of all new female cancer diagnoses. In the U.S., AI-based systems have shown promise for predicting five-year risk of breast cancer and identifying women at risk of cancers that arise between regular screening mammograms.
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Engineered Salmonella Delivers Cancer-Killing Virus to Tumors
Researchers have developed a bacterial delivery platform that uses engineered Salmonella to transport viral genetic material directly into tumors, producing near-complete tumor eradication in mouse models of pancreatic and liver cancer while generating durable antitumor immunity.
The approach, published in Cell Reports Medicine, combines two areas of cancer research that have largely advanced independently: bacterial cancer therapies and oncolytic viruses. By using tumor-targeting bacteria to protect and deliver viral genetic material, the investigators hope to overcome one of the major limitations facing systemic viral therapies for solid tumors.
“We put these two together,” said Neil Forbes, PhD, professor of chemical engineering at the University of Massachusetts Amherst and senior author of the study. “Our Salmonella protects the viral genetic material and delivers it specifically inside tumor cells.”
Combining bacterial and viral cancer therapies
Oncolytic viruses have attracted considerable attention as potential cancer therapies because they can selectively infect tumor cells, destroy them, and stimulate antitumor immune responses. However, delivering viruses to internal solid tumors has proven challenging. “If you inject the virus into the blood, it gets cleared by the immune system,” Forbes said. “You get a few to the tumor, but not enough that it either makes an effect, or you put in so many that it’s toxic.” As a result, many oncolytic virus clinical trials for solid tumors rely on direct injection into accessible tumors, limiting their use in cancers located deep within the body.
Forbes and colleagues sought to address that challenge using engineered Salmonella, which naturally accumulates within tumors after intravenous administration. The researchers modified the bacteria to invade cancer cells and then release their cargo intracellularly specifically into tumors.
Rather than administering intact viral particles, the team loaded the bacteria with plasmids containing the complete genome of an oncolytic virus. After entering tumor cells, the bacteria release the viral genetic material, which then migrates to the nucleus and begins the viral replication process.
“The Salmonella get inside the cancer cell, they release the genomic material that then traffics to the nucleus of the cancer cell, where the virus starts to work like it naturally does,” Forbes said. The virus subsequently replicates, forms infectious viral particles, destroys the host cancer cell, and spreads throughout the tumor microenvironment.
Strong responses in pancreatic and liver tumors
The researchers evaluated the platform in mouse models of pancreatic and liver cancer, using animals with fully functional immune systems. “We use mice with full immune systems because that’s the whole idea here—we’re going to trigger an immune response,” Forbes said.
The results were striking. According to Forbes, treatment produced near-complete tumor eradication in most animals. The study also demonstrated that intravenous administration was sufficient to achieve therapeutic activity. Tumor responses following systemic delivery were comparable to those observed with direct tumor injection.
“We showed that we can get the same tumor reduction from an IV injection as we do from an intratumoral injection,” Forbes said. The finding suggests that the bacterial carrier successfully protected the viral payload in circulation and delivered it to tumor sites after systemic administration.
Evidence of durable antitumor immunity
Beyond direct tumor destruction, the investigators found evidence that the therapy generated a robust adaptive immune response against cancer cells.
To test whether immune memory had developed, the researchers harvested splenocytes from treated mice and transferred them into naïve animals that had never been exposed to tumors, Salmonella, or the virus. The recipient animals were subsequently challenged with tumor cells. “In 100% of the cases they did not take any tumors,” Forbes said. “We’ve generated this antitumor immunity against the tumor.” Importantly, the protection appeared to be directed against the cancer itself rather than against the bacterial or viral components of the therapy.
According to Forbes, the findings suggest the treatment could potentially help prevent metastatic disease or tumor recurrence after elimination of the primary tumor.
Addressing safety concerns
The use of live bacteria as a cancer therapy has historically raised concerns about toxicity and safety. To address those issues, the researchers engineered additional modifications into the Salmonella strain.
During development of the platform, the team removed bacterial antiviral genes that would otherwise interfere with viral production. Unexpectedly, those modifications also appeared to improve safety. “We found that those Salmonella we made with those deletions end up being much safer,” Forbes said.
The modified bacteria were cleared more efficiently from normal tissues and were more susceptible to elimination by macrophages, reducing the likelihood of persistent infection.
While treatment was not entirely free of side effects, Forbes described the observed toxicities as relatively mild. “The side effects from any delivery of bacteria are going to be like standard flu-like symptoms,” he said. “We’re talking about late-stage cancer patients where the prognosis is usually really poor.”
Expanding the therapeutic toolbox
Although the current work remains preclinical, Forbes believes the study highlights the broader potential of engineered bacterial therapies as programmable platforms for cancer treatment. “I think that bacteria have massive potential to treat disease, specifically cancer, in ways that we can’t do with small molecules,” he said.
Unlike conventional drugs, bacteria can be engineered to carry multiple therapeutic payloads, control where treatment occurs and coordinate several biological mechanisms simultaneously.” It is very plastic, highly modifiable, very flexible,” Forbes said. “We can control timing, we can control localization, so we have a lot of power.”
Forbes hopes the findings encourage more researchers to explore bacterial approaches alongside other forms of immunotherapy and targeted therapy. “I want people to see the massive ways that we could treat cancer,” he said. “There are a lot of possibilities that I think are untapped.”
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The Effect of Hunger on the Likelihood of Glucose Excursions in Adults with Overweight or Obesity: Continuous Glucose Monitoring and Ecological Momentary Assessment Observational Study
GLP-1s May Benefit Mental Health Through Gut–Brain Axis
GLP-1 drugs could act on depression by improving the balance of microorganisms in the intestinal tract, preclinical research suggests.
The findings, in Cell Host & Microbe, suggest extra benefits from this new class of drugs, beyond their metabolic effects on diabetes and obesity.
The GLP-1 receptor agonist liraglutide appeared have mental health benefits on mice, influencing brain function and behavior and reducing symptoms of depression.
This related to an increase in the abundance in the microbe Lactobacillus delbrueckii, which is known to act positively on neurons relating to stress.
Researcher Yonggui Yuan, PhD, from Southeast University in Jiangsu, China, noted mixed results from previous studies into the antidepressant effects from GLP-1 agonists.
“The prevailing model held that these drugs act directly on GLP-1 receptors in the brain, while our study provides evidence for an alternative pathway,” he said.
Emerging evidence suggests this drug class may exert biological effects beyond GLP receptors, such as reducing neuroinflammation after stroke or protecting against cisplatin-induced kidney injury.
The researchers therefore examined the neuropsychiatric effects of liraglutide and found that it had antidepressant effects that remained in mice deficient in the GLP-1 receptor.
The team identified a pathway independent of the GLP-1 receptor through which liraglutide could alleviate depressive-like behaviors in the animals.
Liraglutide encouraged the growth of L. delbrueckii by improving bacterial biosynthesis of serine and phosphoenolpyruvate (PEP), two metabolites that occupy pivotal roles in bacterial central metabolism.
PEP serves as a precursor for biosynthesis of amino acids, nucleotides, and cell wall components while the amino acid serine is a key node in one-carbon metabolism and a precursor for glycine, cysteine, and phospholipid synthesis, all essential for rapid bacterial proliferation.
Increasing levels of L. delbrueckii aided the production of diacylglycerol via triacylglycerol lipase.
This provided a precursor by which the animals could synthesize 2-arachidonoylglycerol (2-AG) levels, to normalize neuronal activity in emotional brain regions.
Gut-derived 2-AG inhibited stress-induced neuronal hyperactivity in the basolateral amygdala and dorsomedial hypothalamus, revealing a microbiota-endocannabinoid axis for potential use in depression therapy.
“Given the growing clinical use of GLP-1R agonists for metabolic disorders and the high comorbidity between metabolic and psychiatric conditions, understanding these pleiotropic, microbiota-mediated effects has important translational implications,” the authors noted.
“More broadly, the demonstration that a clinically approved metabolic drug can exert neuropsychiatric effects through microbiota-dependent mechanisms opens new avenues for drug repurposing and suggests that the therapeutic potential of existing pharmacological agents may extend far beyond their originally intended targets,” the authors concluded.
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Innovative Tech Testing in Response to GMP Revisions
Recent revisions to EU manufacturing guidelines are changing how drug makers test processing technologies, according to the author of a new study, who cites growing use of an approach known as PUPSIT as an example.
PUPSIT, or pre-use post-sterilization integrity testing, is used to verify the integrity of sterilizing-grade filters after they have been sterilized, but before they have been used in a biopharmaceutical manufacturing process.
The idea is to make sure the filter has not been compromised during handling or sterilization and is still capable of retaining microorganisms, according to lead author Martin Glanz, Dr. rer. nat., senior principal scientist at Cytiva.
“Operationally, this typically involves wetting the membrane, venting the system, and then carrying out an integrity test such as a bubble point or forward-flow test. These methods essentially measure gas flow through the wetted membrane and confirm whether the filter meets its defined specifications,” he tells GEN.
Conventional verification processes focus on testing filters after they have been used, which, Glanz says, means that faults can be missed.
“The main benefit of PUPSIT compared to older approaches, which often relied heavily on post-use testing, is that you detect any potential defects before product exposure.
“That’s quite important, because defects can sometimes be masked during filtration— for example, due to fouling or plugging—and might not show up afterward. PUPSIT helps close that gap and strengthens overall sterility assurance,” he says.
The biopharmaceutical industry’s use of PUPSIT has increased since 2022, when EU GMP Annex 1, which covers the manufacture of sterile drugs, was revised to include stricter environmental monitoring and quality control requirements.
Glanz adds, “Even though PUPSIT isn’t always an absolute requirement, it is generally expected unless there is a well-justified, risk-based rationale not to perform it. Through PIC/S, this expectation is spreading beyond Europe as well.”
Adoption challenges
Switching from post-use verification strategies has significant potential benefits. However, implementing the approach can be challenging because, compared with traditional approaches, PUPSIT requires some additional steps, Glanz says.
“Companies often run into issues such as increased process complexity: you’re adding steps like wetting, venting, and testing that need to be controlled carefully.
“Additional connections can also introduce contamination risks, especially downstream of the sterilizing filter. In more manual setups, operator dependency becomes a real factor, and achieving reliable wetting can be trickier than it sounds.
“On top of that,” he continues, “more complex assemblies come with typical engineering challenges: dead legs, hold-up volumes, or simply designs that are harder to keep compliant. So, while the regulatory acceptance is clearly there, many organizations are still refining how to implement PUPSIT in a robust and efficient way.”
And technology—specifically single-use systems—is key to this refining process.
“There’s a clear trend toward single-use, preassembled flow paths, which help reduce handling and variability. At the same time, integrity testing technologies are evolving, both in terms of sensitivity and integration.
“Solutions that can assess not just the filter, but the system as a whole, are becoming increasingly relevant. Ultimately, it comes down to combining good engineering with reliable, well-validated procedures,” Glanz says.
Future
The emergence of automated testing systems is also likely to increase biopharma industry use of PUPSIT, according to Glanz.
“The benefits are quite tangible: automated wetting, venting, and testing steps; tighter control over process parameters; fewer manual interventions, particularly on the sterile side; and improved repeatability.
“Automation also enables better documentation, with electronic records and audit trails integrated directly into the system. In a way, this shifts the focus from operator execution to system design and validation, which aligns well with current regulatory thinking,” he says.
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