Monday, August 18, 2025

 

Colorado State University shutters animal study after pressure from national research ethics group



Ending experiment on impact of consuming beans on gut health saves lives of more than 16,000 animals, along with hundreds of thousands of public dollars



Physicians Committee for Responsible Medicine





FORT COLLINS, Colo. — The Physicians Committee for Responsible Medicine, a nonprofit national medical ethics group, applauds Colorado State University for its decision to shutter a nutrition study for which the university had approved the killing of 17,766 animals. The study, funded by the U.S. Department of Agriculture and the university, claimed to investigate the effect of legumes on the human gut microbiome. Public records reveal the primary investigator had to date used 1,587 mice.

An initial USDA grant of $498,500 funded the experiments. A subsequent USDA Cooperative Agreement, active through Dec. 31, 2025, shared ongoing costs with the university.

Over the past two months, the Physicians Committee wrote to Dr. Cassandra Moseley, vice president for research at CSU, and to CSU President Amy Parsons to express scientific and ethical concerns about the studies and request an investigation into the need to kill thousands of animals. The nonprofit also reached out directly to the primary investigator.

“Dietary studies investigating the effects of pulse-rich diets on the gut microbiome and noncommunicable disease outcomes are ethically and effectively conducted using human volunteers,” Janine McCarthy, acting director of research policy for the Physicians Committee, wrote in the letter to Parsons.

Additionally, she wrote, although a search for alternatives to animals is required by federal regulation and the university’s Institutional Animal Care and Use Committee (IACUC), the search conducted by the researcher was flawed, resulting in the primary investigator’s failure to consider viable alternatives to animal use. The IACUC failed to challenge the faulty search.

In response to a Physicians Committee public records request, the university wrote in an email to Ms. McCarthy on Aug. 11, 2025, that the primary investigator had shut down the experiment on July 15, 2025, and that he did not have any active protocols to conduct animal experiments.

“We are grateful that CSU reconsidered these experiments and decided to stop them,” said Ms. McCarthy. “We hope other universities across the country will follow suit by ending animal experiments and shifting to research approaches that are more accurate, cost-effective, and most importantly, more relevant to humans. We also call on the USDA to end funding for animal experiments for human nutrition and instead invest in modern, human-specific science.”

Note to reporters: To arrange an interview with Ms. McCarthy, please contact Kim Kilbride at 202-717-8665 or kkilbride@pcrm.org.

Founded in 1985, the Physicians Committee for Responsible Medicine is a nonprofit health organization that promotes preventive medicine, conducts clinical research, and encourages higher standards for ethics and effectiveness in research and medical training.

 

 

Danforth Center awards proof-of-concept funding to four scientific teams advancing agricultural innovation





Donald Danforth Plant Science Center




ST. LOUIS, MO., August 18, 2025 - As part of its Startup Initiative, the Donald Danforth Plant Science Center has awarded proof-of-concept (PoC) funding to four scientific teams developing breakthrough technologies aimed at solving global challenges in food security and environmental sustainability.

Established to accelerate the movement of scientific discovery from the lab into the marketplace, the Startup Initiative provides critical early support for promising technologies. A key component of this effort, the PoC fund awards $50,000 grants to internal research teams working on pre-commercial innovations with identified commercial potential.

PoC funds support projects that:

  • Generate additional data to secure intellectual property (IP) and strengthen the Center’s IP portfolio;
  • Enhance the attractiveness of technologies for research collaboration and licensing opportunities; and
  • Advance technologies toward the establishment of new startup companies.

“The PoC fund has proven highly effective at developing marketable technologies,” said Danforth Center President and CEO Jim Carrington, PhD. “Over the past four years, several technologies have been derisked through PoC awards, resulting in three new startup companies.” 

The four newly funded projects include:

Developing Genetic Resistance to Geminivirus Pathogens Plant geminiviruses cause numerous devastating diseases in crops such as cassava, tomato, maize, soybean and cotton. The Taylor Laboratory has identified mutations in DNA polymerase delta subunit 1 (POLD1) that confer geminivirus resistance. This discovery offers an important target for biotechnology to generate genetic resistance to geminiviruses across multiple crops, offering farmers an economical and sustainable solution to protect yields.

Platform for Rapid Discovery of Custom Weed Control Strategies Herbicides are widely used and important for weed control in agriculture but are over-used and suffer from limitations on how they can be applied. The Umen Laboratory is developing an efficient customized screening platform to identify the genetic bases for herbicide sensitivity in any crop species. This technology will enable rapid development of strategies to help farmers efficiently combat weeds while reducing overall herbicide usage.

Exploiting Plasmodesmata to Control Plant Disease Plasmodesmata, pores that cross the cell wall to allow the movement of important biomolecules between cells, can be readily exploited by many pathogens. The Burch-Smith and Czymmek teams are pioneering new methods to manipulate plasmodesmata functions to develop novel pesticides and improved crop varieties with entirely new modes of action.

Improving Maize for No-Till Cover Cropping Management Systems  While no-till cover cropping has been demonstrated to be better for the soil, they have also been associated with yield drag in early years, which disincentivizes their adoption by producers. The Baxter and Topp laboratories have developed an approach to phenotype novel maize germplasm for improved performance in a no-till cover crop system. This will enable the identification of alleles and develop germplasm that allow cash crops to be grown in cover crop fields without sacrificing productivity.

About The Donald Danforth Plant Science Center Founded in 1998, the Donald Danforth Plant Science Center is a nonprofit research institute with a mission to improve the human condition through plant science. Research, education and outreach aim to have an impact at the nexus of food security and the environment and position the St. Louis region as a world center for plant science. The Center’s work is funded through competitive grants from many sources, including the National Science Foundation, National Institutes of Health, U.S. Department of Energy, the Gates Foundation, and through the support of individuals and corporations. 

For additional information or images please contact:  Karla Roeber, kroeber@danforthcenter.org .

 

How AI support can go wrong in safety-critical settings


In study scenario, inaccurate AI linked to bad user decisions



Ohio State University




COLUMBUS, Ohio – When it comes to adopting artificial intelligence in high-stakes settings like hospitals and airplanes, good AI performance and a brief worker training on the technology is not sufficient to ensure systems will run smoothly and patients and passengers will be safe, a new study suggests.

Instead, algorithms and the people who use them in the most safety-critical organizations must be evaluated simultaneously to get an accurate view of AI’s effects on human decision making, researchers say.

The team also contends these evaluations should assess how people respond to good, mediocre and poor technology performance to put the AI-human interaction to a meaningful test – and to expose the level of risk linked to mistakes.

Participants in the study, led by engineering researchers at The Ohio State University, were 450 Ohio State nursing students, mostly undergraduates with varying amounts of clinical training, and 12 licensed nurses. They used AI-assisted technologies in a remote patient-monitoring scenario to determine how likely urgent care would be needed in a range of patient cases.

Results showed that more accurate AI predictions about whether or not a patient was trending toward a medical emergency improved participant performance by between 50% and 60%. But when the algorithm produced an inaccurate prediction, even when accompanied by explanatory data that didn’t support that outcome, human performance collapsed, with an over 100% degradation in proper decision making when the algorithm was the most wrong.

“An AI algorithm can never be perfect. So if you want an AI algorithm that’s ready for safety-critical systems, that means something about the team, about the people and AI together, has to be able to cope with a poor-performing AI algorithm,” said first author Dane Morey, a research scientist in the Department of Integrated Systems Engineering at Ohio State.

“The point is this is not about making really good safety-critical system technology. It’s the joint human-machine capabilities that matter in a safety-critical system.”

Morey completed the study with Mike Rayo, associate professor, and David Woods, faculty emeritus, both in integrated systems engineering at Ohio State. The research was published recently in npj Digital Medicine.

The authors, all members of the Cognitive Systems Engineering Lab directed by Rayo, developed the Joint Activity Testing research program in 2020 to address what they see as a gap in responsible AI deployment in risky environments, especially medical and defense settings.

The team is also refining a set of evidence-based guiding principles for machine design with joint activity in mind that can smooth the AI-human performance evaluation process and, after that, actually improve system outcomes.

According to their preliminary list, a machine first and foremost should convey to people the ways in which it is misaligned to the world, even when it is unaware that it is misaligned to the world.

“Even if a technology does well on those heuristics, it probably still isn’t quite ready,” Rayo said. “We need to do some form of empirical evaluation because those are risk-mitigation steps, and our safety-critical industries deserve at least those two steps of measuring performance of people and AI together and examining a range of challenging cases.”

The Cognitive Systems Engineering Lab has been running studies for five years on real technologies to arrive at best-practice evaluation methods, mostly on projects with 20 to 30 participants. Having 462 participants in this project – especially a target population for AI-infused technologies whose study enrollment was connected to a course-based educational activity – gives the researchers high confidence in their findings and recommendations, Rayo said.

Each participant analyzed a sequence of 10 patient cases under differing experimental conditions: no AI help, an AI percentage prediction of imminent need for emergency care, AI annotations of data relevant to the patient’s condition, and both AI predictions and annotations.

All examples included a data visualization showing demographics, vital signs and lab results intended to help users anticipate changes to or stability in a patient’s status.

Participants were instructed to report their concern for each patient on a scale from 0 to 10. Higher concern for emergency patients and lower concern for non-emergency patients were the indicators deemed to show better performance.

“We found neither the nurses nor the AI algorithm were universally superior to the other in all cases,” the authors wrote. The analysis accounted for differences in participants’ clinical experience.

While the overall results provided evidence that there is a need for this type of evaluation, the researchers said they were surprised that explanations included in some experimental conditions had very little sway in participant concern – instead, the algorithm recommendation, presented in a solid red bar, overruled everything else.

“Whatever effect that those annotations had was roundly overwhelmed by the presence of that indicator that swept everything else away,” Rayo said.

The team considered the study methods, including custom-built technologies representative of health care applications currently in use, as a template for why their recommendations are needed and how industries could put the suggested practices in place.

The coding data for the experimental technologies is publicly available, and Morey, Rayo and Woods further explained their work in an article published at AI-frontiers.org.

“What we’re advocating for is a way to help people better understand the variety of effects that may come about from technologies,” Morey said. “Basically, the goal is not the best AI performance. It’s the best team performance.”

This research was funded by the American Nurses Foundation Reimagining Nursing Initiative.


 

Community-based approach boosts family engagement in ADHD care



Novel intervention aims to reduce inequities



Ann & Robert H. Lurie Children's Hospital of Chicago





Innovative intervention delivered by trained community health workers – meaning nonclinical personnel with deep knowledge of the community – increased treatment utilization among participating families with children who have ADHD, according to a pilot study published in the Journal of Attention Disorders. This intervention for parents and caregivers, covering topics that range from education about ADHD to discussions of stigma and barriers to care, intends to reduce inequities in access to evidence-based treatment and boost family engagement in ADHD care.

“We know from previous studies that compared to White youth, Black, Hispanic, and Asian children with ADHD receive less treatment, including fewer visits with a healthcare provider and lower medication use,” said lead author Andrea Spencer, MD, Vice Chair for Research, Pritzker Department of Psychiatry and Behavioral Health at Ann & Robert H. Lurie Children’s Hospital of Chicago and Associate Professor of Psychiatry and Behavioral Sciences at Northwestern University Feinberg School of Medicine.

“We are excited to make a tangible difference for children and their families by using a community-based approach to ADHD that has proved to be so successful for other pediatric conditions, like asthma,” she said. “When so many children have an illness and access to care is inadequate, we need to think beyond individual patient interactions and develop public health solutions. This is the first study to use an intervention for ADHD delivered by community health workers.”

ADHD, a neurobiological condition that affects about 6-8 percent of children, can have lifelong consequences, including educational and occupational underachievement, family and peer conflict, and justice involvement. Treatment, which includes a combination of FDA-approved medication, behavioral therapy and school accommodations, is effective at reducing symptoms and can improve ADHD outcomes.

Dr. Spencer explained that barriers to ADHD care include logistical difficulties, such as finances, insurance, transportation and lack of childcare. Also stigma, discrimination and implicit bias affect families’ experiences with engaging in ADHD care for their children.

In developing content for the intervention, Dr. Spencer and colleagues sought guidance from a Community Advisory Board consisting of racial and ethnic minoritized caregivers of children with ADHD, public school staff, pediatric clinical providers and leaders, child mental health clinicians and child mental health equity researchers.

The intervention included an average of six, hour-long sessions during which community health workers discussed with families evidence-based treatment for ADHD, myths vs. facts, how to respond to stigma and discrimination, how to talk about ADHD in a way that is empowering to kids, how to navigate care, communicate with clinicians and advocate for their child. Participants completed research questionnaires before and after the intervention, as well as exit interviews. Content was refined based on participant feedback.

The pilot study initially included 18 caregivers of children with recently diagnosed ADHD aged 6-12 years. Fifteen caregivers completed the intervention, 16 completed all study questionnaires and 13 completed the exit interview.

“We received overwhelmingly positive feedback about the content and strategy addressing stigma in particular,” said Dr. Spencer. “Caregivers reported that the intervention helped them confront their own stigma about ADHD, as well as stigma from others. A community-based approach really can change the stigma associated with ADHD and hopefully get more kids into treatment.”

Almost all caregivers (88 percent) agreed or strongly agreed that the intervention was helpful. Ninety-four percent of caregivers reported that the intervention made them feel more confident in seeking treatment for ADHD, and many caregivers reported that the program made them more likely to consider medications (69 percent), therapy (75 percent), and school services (88 percent) for their child’s ADHD.

The percent of children receiving outpatient treatment services increased from pre- to post-intervention, including an increase in medication use (from 38 percent to 50 percent), therapy use (from 31 percent to 69 percent), and a statistically significant increase in receipt of school accommodations (from 38 percent to 88 percent).

“Based on our promising results, we are planning a larger study, a randomized clinical trial, to evaluate the effectiveness of our intervention,” said Dr. Spencer. “Ultimately, we hope to improve outcomes for children with ADHD, especially for kids from minoritized racial and ethnic backgrounds.”

Study activities were done at Boston Medical Center/Boston University Chobanian & Avedisian School of Medicine.

Ann & Robert H. Lurie Children’s Hospital of Chicago is a nonprofit organization committed to providing access to exceptional care for every child. It is the only independent, research-driven children’s hospital in Illinois and one of less than 35 nationally. This is where the top doctors go to train, practice pediatric medicine, teach, advocate, research and stay up to date on the latest treatments. Exclusively focused on children, all Lurie Children’s resources are devoted to serving their needs. Research at Lurie Children’s is conducted through Stanley Manne Children’s Research Institute, which is focused on improving child health, transforming pediatric medicine and ensuring healthier futures through the relentless pursuit of knowledge. Lurie Children’s is the pediatric training ground for Northwestern University Feinberg School of Medicine. It is ranked as one of the nation’s top children’s hospitals by U.S. News & World Report.

 

Unraveling the complex features of the seismic scatterers in the mid-lower mantle through phase transition of (Al, H)-bearing stishovite





Ehime University

Complex depth distribution of mid-lower mantle seismic scatterers in the circum-Pacific region and the post-stishovite transition depths affected by the various Al and H content. 

image: 

(a)The phase boundary between stishovite and post-stishovite with the varying Al content. The contour represents the phase boundary of stishovite with different Al content and the H/Al ratio of ~1/3. Geotherm: from Katsura (2022). (b) The depth distribution histogram of the lower-mantle seismic scatterers in the circum-Pacific region (He & Zheng, 2018; Kaneshima, 2019; Li & Yuen, 2014; Niu, 2014; Niu et al., 2003; Vanacore et al., 2006; Yang & He, 2015; Yuan et al., 2021). (c) Map of the mid-lower mantle scatterers around the circum-Pacific region. The color of these spots represents the Al content in SiO2 required to account for the observed depth of these seismic scatterers. The Al content in SiO2 was estimated under the conditions of the H/Al ratio of ~1/3 and the normal mantle geotherm. The color bars in figures a and c are the same.

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Credit: Ehime University




Seismic studies have identified various small-scale scatterers in the mid-lower mantle, with low-VS anomalies and complex depth variations between 700 and 1900 km. Understanding the formation mechanisms of these scatterers is crucial for understanding mantle dynamics and chemical evolution. Previous studies suggest that their formation is linked to the structural phase transition of SiO2 from stishovite to post-stishovite in the subducted oceanic crusts, with variations in Al and H content potentially influencing the transition depth. However, earlier experiments on (Al, H)-bearing stishovite phase transition were conducted only at high pressures and 300 K, limiting our ability to quantify the relationship between variations in subducted oceanic crust composition and small-scale scatterers in the lower mantle. In this study, we investigate the phase transition of (Al, H)-bearing stishovite under simultaneously high pressure and temperature conditions. Our results reveal that the incorporation of 0.01 a.p.f.u Al into stishovite with H/Al ratio of ~1/3 lowers the transition pressure by 6.7(3) GPa. However, the Clapeyron slope of this transition is nearly unaffected by changes in the Al content and has a value of 12.2-12.5(3) MPa/K. According to our results, Al content variation ranging from 0 to 0.07 a.p.f.u in SiO2 can reasonably explain the depth distribution from 800 to 1900 km of the seismic scatterers observed in the circum-Pacific region. These results provide critical experimental evidence for understanding the formation and corresponding dynamic processes of small-scale scatterers in the lower mantle.