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Archived digest · Week of May 11 - May 17, 2026

Applied AI news,
scored for your field

Each week the Institute for Applied AI Innovation reviews AI publications and scores them for Research Relevance, Educational Value, Innovation/Novelty, Practical Impact, Interdisciplinary Potential and Ethical/Policy Implications. Then it writes summaries for each discipline at UTEP.

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Your Discipline 10 stories

The Week at a Glance

Biological & Biomedical Sciences · May 11 - May 17, 2026

Biological & Biomedical Sciences. Molecular/cellular biology, biochemistry, epidemiology, toxicology, and biomedical discovery. Prefers translational research and lab-tech updates.
Departments: Biological Sciences, Pharmaceutical Sciences
Biological & Biomedical Sciences

AI Revolutionizes Research in Biological Sciences

Recent advancements in AI tools, particularly Co-Scientist, are transforming research in biological and biomedical sciences. Researchers from institutions like the University of Cambridge and Stanford University are leveraging this multi-agent AI system to uncover molecular switches in infectious diseases, synthesize findings in aging research, and identify repurposed medicines for liver fibrosis. The tool's ability to analyze vast amounts of literature and generate hypotheses is accelerating discoveries across various fields. This trend highlights the growing integration of AI in scientific research, promising to enhance our understanding of complex biological processes.

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Key Findings
  • Co-Scientist is being used to identify molecular switches linked to severe diseases like sepsis.
  • The AI tool has proven effective in synthesizing findings related to aging and liver disease mechanisms.
  • Collaborative efforts in ALS research are utilizing Co-Scientist to merge expertise in tissue engineering and RNA biology.
Implications
  • The integration of AI in biomedical research could lead to faster identification of disease mechanisms.
  • AI-driven hypothesis generation may enhance the efficiency of drug repurposing efforts.
  • Collaborative research models leveraging AI tools could foster innovation in tackling complex diseases.

Key Metrics

Numbers reported in that week's stories
Co-Scientist has been utilized in multiple research projects across leading institutions
Gemini 3.1 AI model has doubled its accuracy in recent updates
The funding landscape for AI-driven research tools continues to grow, as seen with significant investments in related technologies
Weekly summary for Biological & Biomedical Sciences

Biological & Biomedical Sciences

Top articles by AAII Impact Score (out of 30).

Browse the archive ›
No. 1 · Biological Sciences

Finding the molecular switches behind new infectious diseases

Research Biological SciencesComputer SciencePublic Health Sciences
· 05/16/2026
26/30 AAII Impact Score

AI Summary: Professor Clare Bryant at the University of Cambridge is utilizing the AI tool Co-Scientist to identify molecular switches responsible for severe diseases, such as sepsis, that arise when pathogens transfer from animals to humans. By inputting her grant proposal into Co-Scientist, she received a ranked list of hypotheses, including novel protein targets that had not previously been considered. This iterative process has allowed her team to refine their focus down to specific amino acids for experimental testing, significantly accelerating their research timeline from two to three years to potentially six months. The project aims to enhance understanding of pathogen-induced diseases and develop preventive strategies.

Topics: Healthcare AIMolecular Switch IdentificationProtein Target DiscoveryPathogen-Induced Disease Research
AI Rubric Scores
Research Relevance
5
Educational Value
4
Innovation/Novelty
5
Practical Impact
5
Interdisciplinary Potential
4
Ethical/Policy Implications
3
Read the full article ›
No. 2 · Biological Sciences 26/30

Opening new paths in aging research

· 05/16/2026
Research Biological SciencesPublic Health SciencesComputer Science

AI Summary: At Calico Life Sciences, researchers are utilizing the AI tool Co-Scientist to synthesize disparate findings in the biology of aging, aiming to generate testable hypotheses. The tool has demonstrated effectiveness in filtering through the complexities of existing literature, leading to the formulation of a novel hypothesis regarding the regulation of the integrated stress response (ISR) by metabolism, which varies with age and disease. This hypothesis was further refined through interactions with Co-Scientist, resulting in experimental designs that yielded new findings about ISR's implications for health and disease. The team intends to publish these results, contributing to the understanding of aging-related biological processes.

Topics: Healthcare AIAging ResearchHypothesis GenerationIntegrated Stress Response
AI Rubric Scores +
Research Relevance
5
Educational Value
4
Innovation/Novelty
5
Practical Impact
4
Interdisciplinary Potential
5
Ethical/Policy Implications
3
Read Full Article ›
No. 3 · Biological Sciences 26/30

Accelerating discovery of liver disease mechanisms

· 05/16/2026
Research Biological SciencesNursingPublic Health SciencesComputer Science

AI Summary: At the University of Edinburgh, bioengineer Filippo Menolascina utilized the AI tool Co-Scientist to analyze biomedical literature and generate new hypotheses related to metabolic dysfunction-associated steatohepatitis (MASH). The research addressed the complexity of MASH, which involves multiple biological processes, making single-target drug development inadequate. Co-Scientist synthesized relevant evidence and identified potential combination therapies, including a hypothesis linking the NLRP3 inflammasome to the interplay between inflammation and metabolism in MASH. This hypothesis was experimentally verified and may inform the development of targeted dual-therapies for affected patients.

Topics: Healthcare AICombination TherapiesNLRP3 InflammasomeMetabolic Dysfunction
AI Rubric Scores +
Research Relevance
5
Educational Value
4
Innovation/Novelty
5
Practical Impact
4
Interdisciplinary Potential
5
Ethical/Policy Implications
3
Read Full Article ›
No. 4 · Biological Sciences 26/30

Co-Scientist: A multi-agent AI partner to accelerate research

· 05/12/2026
Research Biological SciencesComputer SciencePublic Health SciencesPharmaceutical Sciences

AI Summary: A new multi-agent AI system called Co-Scientist has been introduced to assist researchers in generating and refining scientific hypotheses, as detailed in a recent publication in Nature. Developed collaboratively by Google DeepMind, Google Research, Google Cloud, and Google Labs, this system aims to address the challenges of hypothesis generation in the life sciences and other fields. The Co-Scientist tool is designed to iteratively create, debate, and evolve hypotheses for complex scientific problems and will be made available to individual researchers through an experimental tool called Hypothesis Generation. Initial applications of the system have focused on issues such as antimicrobial resistance, plant immunity, and liver fibrosis.

Topics: Generative AIMulti-Agent SystemsHypothesis GenerationAntimicrobial Resistance
AI Rubric Scores +
Research Relevance
5
Educational Value
4
Innovation/Novelty
5
Practical Impact
4
Interdisciplinary Potential
5
Ethical/Policy Implications
3
Read Full Article ›
No. 5 · Biological Sciences 22/30

Uniting biological toolkits for a new approach to ALS

· 05/16/2026
Research Biological SciencesNursingElectrical & Computer EngineeringPublic Health Sciences

AI Summary: Ritu Raman from MIT and Ryan Flynn from Boston Children's Hospital have initiated a collaborative research effort to investigate ALS, leveraging their distinct expertise in tissue engineering and RNA biology, respectively. Utilizing a tool called Co-Scientist, they streamlined the process of reviewing existing literature, generating testable hypotheses, and identifying feasible research directions. This collaboration aims to explore novel RNA-based mechanisms and potential RNA-targeted therapies for ALS, bridging the gap between their disciplines to enhance understanding and treatment of the disease.

Topics: Healthcare AIRNA-targeted TherapiesTissue EngineeringLiterature Review Automation
AI Rubric Scores +
Research Relevance
4
Educational Value
3
Innovation/Novelty
4
Practical Impact
4
Interdisciplinary Potential
5
Ethical/Policy Implications
2
Read Full Article ›
No. 6 · Pharmaceutical Sciences 22/30

Uncovering repurposed medicines to fight liver fibrosis

· 05/16/2026
Research Pharmaceutical SciencesNursingPublic Health Sciences

AI Summary: Research led by Gary Peltz at Stanford University School of Medicine, published in *Advanced Science*, investigates the use of Co-Scientist to identify existing drugs that could be repurposed for treating liver fibrosis. Peltz's team tested five drug candidates—three proposed by Co-Scientist and two selected by Peltz—using a fibrosis testbed with live human liver cells. While Peltz's selections showed no efficacy, two of Co-Scientist's candidates effectively blocked fibrosis and promoted liver cell regeneration, with vorinostat demonstrating a 91% reduction in a damage response associated with liver scarring. The findings suggest that drugs targeting gene activity may be promising candidates for developing new anti-fibrotic therapies.

Topics: Healthcare AIDrug RepurposingFibrosis TreatmentGene Activity Modulation
AI Rubric Scores +
Research Relevance
4
Educational Value
3
Innovation/Novelty
4
Practical Impact
5
Interdisciplinary Potential
4
Ethical/Policy Implications
2
Read Full Article ›
No. 7 · Computer Science 19/30

scBench Updates: Opus 4.7, GPT 5.5, Gemini 3.1

· 05/12/2026
Research Computer ScienceBiological SciencesElectrical & Computer Engineering

AI Summary: The article discusses updates to scBench, which now includes additional scientist reviews and data for new AI models: Opus 4.7, GPT 5.5, and Gemini 3.1. Findings indicate that Gemini 3.1 has doubled its accuracy, Opus 4.7 shows modest improvement, while GPT 5.5 exhibits no significant accuracy enhancement. In terms of latency, GPT 5.5 demonstrates substantial improvement, while Gemini 3.1's latency worsens by approximately five times. Despite advancements in generic data analysis capabilities, the models continue to face challenges with biology-specific analysis details, highlighting the need for knowledge of experimental design and specific analysis protocols.

Topics: Generative AIBiology-Specific AnalysisLatency OptimizationModel Accuracy Improvement
AI Rubric Scores +
Research Relevance
4
Educational Value
3
Innovation/Novelty
3
Practical Impact
4
Interdisciplinary Potential
3
Ethical/Policy Implications
2
Read Full Article ›
No. 8 · Public Health Sciences 19/30

Wear and Tear Changes Measurable PFAS Levels in Firefighter Hoods, Gloves and Wildland Gear

· 05/13/2026
Research Public Health SciencesNursingBiological Sciences

AI Summary: Researchers at the National Institute of Standards and Technology (NIST) conducted a study to assess the impact of wear and tear on per- and polyfluoroalkyl substances (PFAS) levels in firefighter protective clothing, specifically focusing on hoods and gloves used in structural fires and wildland gear. The findings revealed that wear and tear significantly increased PFAS concentrations in hoods and gloves, while levels decreased in wildland gear. This research provides critical baseline data for toxicologists and health experts to evaluate potential health risks associated with PFAS exposure in firefighting equipment, addressing a gap in knowledge highlighted by Congress in the 2021 National Defense Authorization Act.

Topics: Healthcare AIPFAS Exposure AssessmentProtective Clothing AnalysisToxicology Data Standardization
AI Rubric Scores +
Research Relevance
3
Educational Value
2
Innovation/Novelty
3
Practical Impact
4
Interdisciplinary Potential
3
Ethical/Policy Implications
4
Read Full Article ›
No. 9 · Political Science & Public Administration 15/30

3Q: Why science is curiosity on a mission

· 05/14/2026
Research Political Science & Public AdministrationEducational LeadershipBiological SciencesComputer Science

AI Summary: MIT has launched the initiative "Science Is Curiosity on a Mission" to advocate for the importance of curiosity-driven research in the U.S., emphasizing its role in fostering innovation across various fields, including medicine and technology. The initiative aims to highlight the stories of scientists engaged in long-term, open-ended inquiries that have led to significant breakthroughs. This effort comes in response to declining public investment in basic science, which threatens the sustainability of the U.S. research enterprise and its global leadership in scientific innovation. By focusing on the human aspect of scientific inquiry, the initiative seeks to rekindle appreciation for the foundational role of curiosity in driving discovery.

Topics: Science & ResearchCuriosity-Driven ResearchPublic Investment in ScienceInnovation in Technology
AI Rubric Scores +
Research Relevance
1
Educational Value
2
Innovation/Novelty
2
Practical Impact
3
Interdisciplinary Potential
4
Ethical/Policy Implications
3
Read Full Article ›
No. 10 · Industrial, Manufacturing & Systems Engineering 13/30

The Week’s 10 Biggest Funding Rounds: Anduril Leads Varied Lineup Of Large Deals

· 05/15/2026
Business Industrial, Manufacturing & Systems EngineeringElectrical & Computer EngineeringAerospace & Mechanical EngineeringBiological SciencesPolitical Science & Public Administration

AI Summary: Anduril Industries, a defense technology company, secured $5 billion in funding, marking the largest financing round of the week. This funding round is part of a broader trend, as several companies specializing in various applications, including data power, robotics, space technology, and biotechnology, also raised significant capital. The investments reflect a growing interest in technologies that have practical applications in the physical world.

Topics: RoboticsDefense TechnologyBiotechnology ApplicationsSpace Technology
AI Rubric Scores +
Research Relevance
1
Educational Value
2
Innovation/Novelty
2
Practical Impact
4
Interdisciplinary Potential
3
Ethical/Policy Implications
1
Read Full Article ›
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