AACR Warns Congress of Cancer Care Setbacks from Proposed NIH Cuts, Again

Cancer researchers in the United States are once again bracing for a high-stakes funding battle in Washington, as a proposed $6 billion cut to the National Institutes of Health (NIH) for fiscal year 2027 threatens to derail years of scientific progress.

For advocates like Jon Retzlaff, Chief Policy Officer and Vice President for Science Policy and Government Affairs at the American Association for Cancer Research (AACR), the situation feels strikingly familiar and deeply consequential. That sense of déjà vu is shaping the response from the cancer research community, which is now urging Congress to once again reject the administration’s proposal just as it did last year.

To understand the urgency of the current moment, Retzlaff points back to the turmoil of the previous budget cycle. “A year ago, the president had proposed a 40% cut to NIH,” Retzlaff told Inside Precision Medicine. “Things looked pretty bleak.” The consequences were immediate and unsettling: grants were stuck and there were cutbacks on committees and staff.

But Congress ultimately intervened decisively. “We engaged with Congress, who has the power of the purse,” Retzlaff said. “They summarily rejected the president’s proposal for the 40% cuts and instead provided a $450 million increase for NIH.” Lawmakers also delivered a significant boost to the National Cancer Institute (NCI), reinforcing what Retzlaff described as a clear signal of bipartisan support for biomedical research. “What we saw for the current fiscal year… is they summarily rejected the president’s proposal,” Retzlaff said. “So now we are going through the exercise all over again.”

Despite the renewed threat, Retzlaff sees reasons for hope rooted in last year’s outcome. “People asked, ‘How can you be so optimistic?’” He recalled the earlier funding fight. “At least this year, I’m going to be able to tell them why I can be optimistic,” he said. “Because it was Congress that stood up.”

Still, he cautioned against complacency. “We can’t rest on our laurels. We can’t take it for granted,” Retzlaff said. “We will be continuing to press the issue.”

Holding down the precision oncology fort

For AACR, the renewed funding fight underscores a central truth: cancer research depends on long-term, uninterrupted investment. “You need this sustained funding over time,” Retzlaff said. “You go where the science is showing opportunities and also where there might not be opportunities right now.”

He emphasized that scientific progress is rarely linear or predictable. “Even though people can’t necessarily say it’s clear-cut that if we do research in this, we’re going to make some progress,” he said, “for some of the cancers, we just need to do research to try to have that knowledge discovery going on.”

Retzlaff added, “Basic biology is so important,” stressing that foundational science underpins every future breakthrough and the continued growth of precision medicine as the new standard of healthcare. “It’s about identifying the biomarkers that are important,” Retzlaff explained.

Meanwhile, emerging areas such as cancer vaccines are generating both excitement and urgency. “Cancer vaccines are now a big issue,” he said. “AACR is very interested in pushing that kind of research forward.”

Yet all of this progress depends on stable funding. Without it, Retzlaff warned, research priorities could narrow dangerously. “If you start cutting back, the next thing you know, we’re just funding breast cancer and lung cancer,” he said, “whereas the rare cancers need to be investigated. We need to give those people hope.”

Sustained national commitment to health

Funding cuts would also ripple through the clinical research pipeline. Retzlaff, who has become more involved in clinical trials in recent years, noted their complexity and cost.

While pharmaceutical companies often support later-stage development, early and exploratory studies depend heavily on NIH funding. “We rely on pharmaceutical companies… once you get into the translational part,” he explained, but without federal investment at the front end, fewer discoveries will ever reach that stage.

For AACR, protecting NIH funding is about more than preserving scientific momentum; it’s about sustaining a national commitment to health. “We’ve got 50,000 members,” Retzlaff said. “Two-thirds of them are from the U.S., and probably two-thirds of them are completely reliant in many ways on NIH funding.” That dependence drives the organization’s advocacy efforts. “Our number one priority is inspiring excitement on Capitol Hill and from lawmakers for robust, sustained and predictable funding for the NIH,” he said.

AACR’s outreach spans everything from congressional briefings to large-scale advocacy events. “It’s working with the entire community,” Retzlaff said, noting collaborations with hundreds of organizations and initiatives, such as Medical Research Hill Day. “We’re constantly looking at drum[ming] up conversations with the media,” he added. “It’s things like that—briefings, reports, letters—you name it.”

At the same time, AACR is navigating broader policy and public health challenges. Retzlaff highlighted ongoing engagement with the Food and Drug Administration (FDA) on issues ranging from clinical trial efficiency to tobacco regulation.

Backing cancer vaccines

Prevention, too, remains a critical priority. “HPV prevention is very important,” he said, though he acknowledged that misinformation has slowed progress. “The anti-vaccine movement is a huge concern.”

Retzlaff said that the cancer vaccine issue is rooted in communication and not the regulators. According to Retzlaff, the director of the National Cancer Institute has had some meetings with Secretary Kennedy, who was supportive of moving cancer vaccines forward. “We have to figure out what it is that people will accept about cancer vaccines that they’re not accepting about vaccines overall,” Retzlaff said. “That’s a communication issue… trying to combat the misinformation out there.”

AACR has even debated trying new names for the modality. Retzlaff elaborated, “There was some discussion about whether we can change the name of this from ‘cancer vaccines’ to something else.”

As Congress weighs the proposed cuts, AACR is calling on researchers, patients, and advocates to speak out once again. The message, Retzlaff said, is simple but urgent: “We definitely want to get the information out… about the importance of NIH medical research… and inspire people to take action.”

The outcome will determine not only the trajectory of cancer research but also the pace at which new discoveries can translate into treatments and, ultimately, save lives.

The post AACR Warns Congress of Cancer Care Setbacks from Proposed NIH Cuts, Again appeared first on Inside Precision Medicine.

Ultrasensitive Molecular Test Identifies Substantial TB Underdiagnosis in Boston

While developing an ultrasensitive test for the detection of Mycobacterium tuberculosis DNA (TB-DNA), researchers from Boston University have unexpectedly found a high prevalence of the molecular marker in U.S.-born patients hospitalized in Boston.

“We began this research with the intent of sourcing respiratory samples to support the ongoing development of a new molecular assay for TB,” said Guillermo Madico, MD, PhD, scientist at Boston University’s National Emerging Infectious Diseases Laboratories (NEIDL) and co-inventor of the TOP TB assay. “What we found was completely unexpected. Our ultrasensitive test is detecting Mycobacterium tuberculosis DNA in patients who are unlikely to be diagnosed with TB using current methods. This opens the possibility that there could be thousands of Americans infected with forms of tuberculosis disease that remain hidden from our current diagnostic tools—putting them at risk of developing more serious complications or potentially transmitting the disease to others.”

In 2022, there were over 8000 reported cases of TB in the United States, over 600 TB-related deaths, and an estimated 13 million people with Mycobacterium tuberculosis infection. Although incidence has steadily decreased in the U.S., the rate of decline is too slow to meet the ambitious World Health Organization strategy to end the global TB epidemic by 2035.

One threat to the global elimination goal is a gap in the detection of paucibacillary TB disease—a type of TB characterized by a low concentration of M. tuberculosis bacilli in samples that often results in false negative test results.

To improve detection, Madico and colleagues developed an ultrasensitive molecular assay developed at Boston University called the Totally Optimized PCR (TOP) TB assay, which targets a gene involved in M. tuberculosis cell wall assembly.

During the development process, the researchers conducted three separate clinical studies involving 297 patients from Boston hospitals.

Across the studies, the TOP TB assay detected TB DNA in 12–16% of samples—a rate far higher than expected given Boston’s low TB incidence rate. Of note, most TB DNA-positive patients tested negative on standard TB infection tests (tuberculin skin tests or interferon-gamma release assays), and the researchers hypothesize that the findings “indicate the existence of a paucibacillary form of TB that remains unrecognized and is not detectable using current diagnostic tools.”

During the study, there were three patients diagnosed with acute chest syndrome, a life-threatening complication of sickle cell disease, all of whom tested positive for TB DNA.

The researchers point out in Nature Communications that this “previously unrecognized association” has potential implications for clinical care in the U.S. and many other settings.

“These findings suggest we may be missing a significant burden of TB disease, particularly in older Americans and in patients with certain underlying conditions,” said Edward Jones-López, MD, who co-led the study while at Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine. “Most concerning is the potential association with acute chest syndrome in sickle cell patients. If confirmed and expanded upon in larger studies, this finding could lead to better health outcomes for patients with this potentially life-threatening condition.”

The researchers emphasize that their preliminary findings require confirmation in larger, prospective multicenter studies that include comprehensive clinical, radiological, immunological, and microbiological correlation. However, they argue the evidence warrants immediate dissemination given potential implications for medical care and public health.

The post Ultrasensitive Molecular Test Identifies Substantial TB Underdiagnosis in Boston appeared first on Inside Precision Medicine.

Redefining the future of software engineering

Software engineering has experienced two seismic shifts this century. First was the rise of the open source movement, which gradually made code accessible to developers and engineers everywhere. Second, the adoption of development operations (DevOps) and agile methodologies took software from siloed to collaborative development and from batch to continuous delivery. Now, a third such shift looks to be taking shape with the adoption of agentic AI in software engineering.

Thus far, engineering teams have mainly used AI to assist with coding, testing, and other individual tasks, within tightly designed parameters. But with agentic capabilities, AI agents become reasoning, self-directing entities that can manage not just discrete tasks but entire software projects—and do so largely autonomously. If adopted and fully embraced by engineering teams, agentic AI will usher in end-to-end software process automation and, ultimately, agent-managed development and product lifecycle automation.

This report, which is based on a survey of 300 engineering and technology executives, finds that software engineering teams are seeing the potential in agentic AI and are beginning to put it to use, but so far in a mainly limited fashion. Their ambitions for it are high, but most realize it will take time and effort to reduce the barriers to its full diffusion in software operations. As with DevOps and agile, reaping the full benefits of agentic AI in engineering will require sometimes difficult organizational and process change to accompany technology adoption. But the gains to be won in speed, efficiency, and quality promise to make any such pain well worthwhile.

Key findings include the following:

Adoption momentum is building. While half of organizations deem agentic AI a top investment priority for software engineering today, it will be a leading investment for over four-fifths in two years. That spending is driving accelerated adoption. Agentic AI is in (mostly limited) use by 51% of software teams today, and 45% have plans to adopt it within the next 12 months.

Early gains will be incremental. It will take time for software teams’ investments in agentic AI to start bearing fruit. Over the next two years, most expect the improvements from agent use to be slight (14%) or at best moderate (52%). But around one-third (32%) have higher expectations, and 9% think the improvements will be game changing.

Agents will accelerate time-to-market. The chief gains from agentic AI use over that two-year time frame will come from greater speed. Nearly all respondents (98%) expect their teams’ delivery of software projects from pilot to production to accelerate, with the anticipated increase in speed averaging 37% across the group.

The goal for most is full agentic lifecycle management. Teams’ ambitions for scaling agentic AI are high. Most aim for AI agents to be managing the product development and software development lifecycles (PDLC and SDLC) end to end relatively quickly. At 41% of organizations, teams aim to achieve this for most or all products in 18 months. That figure will rise to 72% two years from now, if expectations are met.

Compute costs and integration pose key early challenges. For all survey respondents—but especially in early-adopter verticals such as media and entertainment and technology hardware—integrating agents with existing applications and the cost of computing resources are the main challenges they face with agentic AI in software engineering. The experts we interviewed, meanwhile, emphasize the bigger change management difficulties teams will face in changing workflows.

Download the report

This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.

Prediction of Relapse Using Digital Technology in People in Recovery From Substance Use Disorders: Early Economic Evaluation With a Case Study of the Subreal App

Background: Many people relapse after achieving abstinence in substance use disorders. Health care providers may scan the horizon for new technologies to predict response that allow interventions to be targeted rather than routine. Currently, no such predictive technologies are available in the United Kingdom. The Subreal app is available for use in research contexts, but no clinical data specific to the app are yet available. Early health economic modeling can use data from the literature to explore characteristics essential for the new technology to be cost-effective. This information can guide developers in setting performance targets and pricing and estimating potential cost savings and/or cost-effectiveness for health care providers. Objective: This study was supported by a UK industry funding body to explore the potential of digital technologies such as the Subreal app to offer cost savings or cost-effectiveness for health care providers. We explored the threshold price and clinical effectiveness required to deliver cost savings and cost-effectiveness in 2 subpopulations with substance use disorders in a UK setting. Methods: Deterministic models were used to estimate costs per relapse and quality-adjusted life years over 1-, 5-, and 20-year time horizons for people who have achieved abstinence after treatment for alcohol or opioid misuse. The intervention was a digital technology predicting relapse, provided—in addition to standard care—for 1 year post achievement of abstinence. In Subreal, biomarker data are collected daily through the app, and artificial intelligence–enhanced risk assessment flags patients who require additional support. The comparator was event-driven, reactive response to relapse. Costs and quality-of-life estimates were calculated using Markov models with data from existing published sources. The base-case estimate of 15% reduction in first-year relapse rates was based on a previous study on a similar but simpler digital technology. Results: Digital technologies such as the Subreal app have the potential to be cost-saving from a UK health and social care perspective, especially when used over a longer time horizon. Assuming a reduction of 15% in first-year relapse rates, digital technologies have the potential to be cost-saving, provided that they do not cost more than £300 (US $400.09) and £460 (US $613.47) per patient per annum for alcohol and opioid use disorders, respectively. No cost was included for postalert care, as it was assumed that this could be met within existing resources. Cost savings would be achieved predominantly through a reduction in treatment requirements as fewer people relapse. Price thresholds would reduce correspondingly if a <15% reduction in relapse rates were achieved. Conclusions: Developers of digital technologies that aim to reduce relapse need to focus on the generation of evidence of clinical effectiveness and develop a commercially sustainable pricing model that allows health care providers to benefit from cost savings.

STAT+: Congress returns to a packed health care agenda

You’re reading the web edition of D.C. Diagnosis, STAT’s twice-weekly newsletter about the politics and policy of health and medicine. Sign up here to receive it in your inbox on Tuesdays and Thursdays.

Trump deleted an AI image of himself on Truth Social looking a whole lot like Jesus after conservative Christians cried blasphemy. “It’s supposed to be me as a doctor,” Trump told reporters while stepping out of the Oval Office to get a McDonald’s delivery. Send news tips and surprising health care angles to John.Wilkerson@statnews.com or John_Wilkerson.07 on Signal.

Recess is over

Congress returns to a packed health care agenda after two weeks off. Here’s what to follow.

Continue to STAT+ to read the full story…

<![CDATA[Explore how sigma‑1 receptors shape ER–mitochondria signaling, calm neuroinflammation, and inspire therapies from fluvoxamine to dextromethorphan.]]>

AWS Launches Amazon Bio Discovery Agentic AI to Accelerate Drug Development

AWS has now unveiled Amazon Bio Discovery, an AI platform that grants researchers direct access to a broad library of biological foundation models that can be fine-tuned for specific use cases in drug discovery. Announced at the AWS Life Sciences Symposium at the Javits Center in New York, the platform is supported by an AI agent that can select models for research goals, and evaluate candidates for synthesis and testing to enable a rapid lab-in-the-loop experimentation cycle.  

While rising AI models show promise, they require coding skills and the ability to manage computing infrastructure. Additionally, diverse models face benchmarking challenges and moving candidates from computational design to physical synthesis remains a multi-step process. Given that data live in disconnected systems, scientists must manage multiple lab partners and manually coordinate timelines and execution.

Amazon Bio Discovery addresses these challenges with three capabilities: a benchmarked library of AI models and analysis packages, an AI agent that supports experimental lab, and integrated lab partners that test top antibody candidates and route results back to the researchers. This feedback loop improves the next round of design. 

“AI agents make powerful scientific capabilities accessible to all drug researchers, not just those with computational expertise,” said Rajiv Chopra, PhD, vice president of AWS Healthcare AI and Life Sciences.  

Currently, 19 of the top 20 global pharmaceutical companies use AWS to power research workloads. Amazon Bio Discovery will bring enterprise-grade scale, privacy, and security to researchers across pharmaceutical, biotech, and academic research organizations. MSK, Bayer, the Broad Institute, and Voyager Therapeutics are among early adopters of Amazon Bio Discovery. 

Among the Amazon Bio Discovery broad catalog includes open-source and commercial models from Apheris and Boltz. Biohub and Profluent are expected to join the platform. 

Amazon Bio Discovery enables scientists to fine-tune the model by feeding prior experimental data from their organization’s lab results into the application without complex training pipelines or custom code. In-house models can also easily be deployed and hosted within Amazon Bio Discovery.  

To support model selection, an antibody benchmark dataset is available to evaluate the likelihood of a drug candidate to have favorable biological properties, such as manufacturability and stability. 

Candidates selected for experimental validation can be directly sent to Amazon Bio Discovery’s integrated network of laboratory partners, including Twist Bioscience, Ginkgo Bioworks. A-Alpha Bio is also anticipated to join the network. 

The post AWS Launches Amazon Bio Discovery Agentic AI to Accelerate Drug Development appeared first on GEN – Genetic Engineering and Biotechnology News.

Down Syndrome Chromosomal Therapy Draws Closer

Gene editing has been able to silence the extra chromosome that is mostly responsible for Down syndrome (DS) in a cell-based study that could be the first step towards therapeutic treatment.

The approach uses a modified form of CRISPR-Cas9 to alter precise sections of DNA.

Researchers used this to insert the X-inactivation specific transcript (XIST) gene to deactivate X chromosomes in female cells, thereby correcting chromosomal triplication.

The partial transcriptional correction, reported in PNAS, offers a scalable, targeted platform for chromosomal therapy in Down syndrome and other aneuploidy disorders, which are conditions involving an abnormal number of chromosomes.

“These studies overcome a major hurdle in the treatment of Down syndrome (a genetic disorder cause by three rather than two copies of chromosome 21) by dramatically increasing the efficiency with which to insert XIST onto a single copy of chromosome 21 and thereby silencing this third copy,” senior researcher Volney Sheen, PhD, from Beth Israel Deaconess Medical Center, told Inside Precision Medicine.

“Determination of the best ways and times to deliver these constructs to the brain will become the next focus as we seek a clinical treatment for DS.”

Down syndrome is the most common genetic disorder and occurs in one out of 700 live births. It is linked with cognitive impairment, heart defects, and early-onset Alzheimer’s disease and results from the triplication of approximately 500 genes as well as other genetic changes on chromosome 21.

The XIST gene produces a long, noncoding RNA that inactivates many of the genes on one of the two X chromosomes of female mammals. It has therefore been mooted as a treatment for Down syndrome but technical limitations, including low levels of gene integration, have hindered progress.

In an attempt to address this, Sheen and team created a CRISPR-based method that involved fusing a codon-optimized λ-phage with Cas9, assembling single guide (sg)RNAs specific to single nucleotide polymorphisms (SNPs), and enhancing donor-acceptor DNA pairing.

The modified CRISPR-Cas9 method achieved a high level of genomic integration of large genetic material, improving the efficiency and specificity of XIST integration.

Inserting XIST onto one of the trisomic chromosome 21 alleles using SNP-dependent sgRNAs achieved an integration efficiency of 20% to 40% for the 14kb XIST gene.

XIST integration was revealed through expression of the enhanced green fluorescent protein reporter, clonal sequencing of individual lines, and fluorescent in situ hybridization.

The team further demonstrated that XIST activation led to upregulation of epigenetic markers, broad downregulation of messenger RNA expression on chromosome 21, and downregulation of specific genes on this chromosome.

“Our findings demonstrate atrial transcriptional correction of trisomic gene dosage and offer a scalable targeted platform for chromosomal therapy in DS and other aneuploidies,” the researchers reported.

They added: “The modified CRISPR method with XIST paves a rode for therapeutic treatment for DS.”

The post Down Syndrome Chromosomal Therapy Draws Closer appeared first on Inside Precision Medicine.

STAT+: FDA pressures drugmakers to report trial results

Want to stay on top of the science and politics driving biotech today? Sign up to get our biotech newsletter in your inbox.

Good morning. My colleague recently had a chance to talk with former senator Ben Sasse about his experience taking Revolution Medicines’ pancreatic cancer pill. Read on for what he said.

Ben Sasse thinks Rev Med drug ‘extended both quality and quantity of life’

Yesterday, we got highly promising results from a trial of Revolution Medicines’ pancreatic cancer pill, showing that patients on the medication lived nearly twice as long as those on chemotherapy.

Continue to STAT+ to read the full story…