Scientific discovery is driven by scientists generating novel hypotheses for complex problems that undergo rigorous experimental validation. To augment this process, we introduce Co-Scientist, a multi-agent AI system built on Gemini for structured scientific thinking and hypothesis generation. Co-Scientist aims to help scientists discover new original knowledge. Conditioned on their research objectives and prior scientific evidence, it formulates demonstrably novel research hypotheses for experimental verification. The system’s design involves agents continuously generating, critiquing and refining hypotheses accelerated by scaling test-time compute. Key contributions include: (1) a multi-agent architecture with an asynchronous task execution framework for flexible compute scaling; (2) a tournament evolution process for self-improving hypotheses generation. Automated evaluations show continued benefits of test-time compute scaling, improving hypothesis quality over time. While general purpose, we focus the validation in three biomedical applications: drug repurposing, novel target discovery 1, and explaining mechanisms of anti-microbial resistance 2. Specifically, Co-Scientist helped identify new drug repurposing candidates and synergistic combination therapies for acute myeloid leukemia, which were validated through in vitro experiments. These real-world validations demonstrate the potential of Co-Scientist to accelerate scientific discovery and usher in an era of AI empowered scientists.
This study aimed to identify neuropsychiatric, motor, and cognitive features associated with accelerated disease progression in behavioral variant frontotemporal dementia (bvFTD). 192 participants were classified as having mild or moderate disease severity based on CDR + NACC FTLD global scores, with scores of 0.5 or 1.0 defined as mild (n = 106) and 2.0 as moderate (n = 86). Participants were further categorized as having accelerated (mild: n = 35; moderate: n = 32) or non-accelerated (mild: n = 71; moderate: n = 54) progression rates based on change in CDR + NACC FTLD-SB sum of boxes (SB) scores (≥ 3.5 points) between Visit 1 and 2. Random forest modeling and logistic regression identified features most predictive of accelerated progression within each group. In mild bvFTD, episodic memory impairment and presence of frontal-behavioral neuropsychiatric symptoms were predictive of accelerated progression, whereas in moderate bvFTD, language impairments and motor signs were the strongest predictors. Identified features improved prediction of accelerated progression beyond demographic and clinical factors in mild (∆R2 = .22, p < 0.001) and moderate bvFTD (∆R2 = 0.11, p = 0.08) but did not achieve statistical significance in the moderate group. Distinct clinical profiles predict accelerated progression in mild versus moderate bvFTD, underscoring the importance of stage-specific clinical markers for prognosis and care.
BACKGROUND:Whether anticoagulation alone is an adequate treatment for acute, intermediate-risk pulmonary embolism is uncertain. METHODS:We conducted a multinational, adaptive-design trial with blinded outcome adjudication. Patients with intermediate-risk pulmonary embolism (with a ratio of right ventricular end-diastolic diameter to left ventricular end-diastolic diameter of ≥1.0 and an elevated troponin level) were eligible if they had at least two indicators of cardiorespiratory distress (systolic blood pressure of ≤110 mm Hg, a heart rate of ≥100 beats per minute, or a respiratory rate of >20 breaths per minute). Patients were randomly assigned to undergo ultrasound-facilitated, catheter-directed fibrinolysis with alteplase plus anticoagulation (the intervention group) or anticoagulation alone (the control group) according to prespecified treatment protocols. The primary outcome was a composite of pulmonary embolism-related death, cardiorespiratory decompensation or collapse, or symptomatic recurrence of pulmonary embolism within 7 days. RESULTS:The intention-to-treat population comprised 544 patients: 273 in the intervention group and 271 in the control group. The mean (±SD) age was 58.2±13.5 years, and 42.6% of the patients were women. A primary-outcome event occurred in 11 patients (4.0%; 95% confidence interval [CI], 2.3 to 7.1) in the intervention group and 28 (10.3%; 95% CI, 7.2 to 14.5) in the control group (relative risk, 0.39; 95% CI, 0.20 to 0.77; P = 0.005). The effect was driven primarily by a lower risk of cardiorespiratory decompensation or collapse in the intervention group. Major bleeding occurred within 7 days after randomization in 11 patients (4.1%) in the intervention group and 6 (2.2%) in the control group (P = 0.32); major bleeding occurred within 30 days in 11 patients (4.1%) and 8 patients (3.0%), respectively (P = 0.64). No substantial between-group differences in the incidence of other serious adverse events were observed up to 30 days after randomization; no intracranial hemorrhage occurred. CONCLUSIONS:In patients with acute, intermediate-risk pulmonary embolism, ultrasound-facilitated, catheter-directed fibrinolysis plus anticoagulation led to a lower risk of the composite of pulmonary embolism-related death, cardiopulmonary decompensation or collapse, or symptomatic recurrence of pulmonary embolism within 7 days than anticoagulation alone. (Funded by Boston Scientific; HI-PEITHO ClinicalTrials.gov number, NCT04790370.).
Background The utility of coronary artery calcium (CAC) scoring in individuals with elevated lipoprotein(a) [Lp(a)] for atherosclerotic cardiovascular disease (ASCVD) risk assessment is currently unclear given the propensity of Lp(a) toward noncalcified plaque. Objectives The authors aimed to evaluate the interaction between elevated Lp(a) (>50 mg/dL) and CAC score, and the association of Lp(a) with ASCVD risk across strata of CAC. Methods A pooled cohort of participants without known ASCVD from 4 U.S.-based prospective cohort studies with baseline Lp(a) and CAC measurements was used. The association between elevated Lp(a) across CAC strata and incident ASCVD (myocardial infarction, stroke, coronary revascularization) was evaluated in multivariable Cox regression models. Results The study included 11,319 participants (mean age 56 years, 54% women) with 1,569 incident ASCVD events over 14.8 year mean follow-up. Lp(a) >50 mg/dL (HR: 1.24; 95% CI: 1.09-1.41) and CAC >0 (HR: 2.44; 95% CI: 2.14-2.77) were independently associated with ASCVD risk (P interaction = 0.80). Among individuals with CAC = 0, ASCVD incidence rates were low overall, but higher with Lp(a) >50 mg/dL vs ≤50 mg/dL (4.9 vs 3.8/1,000 person-years, HR: 1.28; 95% CI: 1.01-1.60). Among those with CAC >0, increased risk was again noted with elevated Lp(a) (21.2 vs 18.2/1,000 person-years, HR: 3.03; 95% CI: 2.52-3.64). Similar results were observed when examining further CAC strata with the greatest risk noted with both CAC ≥300 and Lp(a) >50 mg/dL (HR: 6.12; 95% CI: 4.80-7.81). Consistent results were noted by age and sex with greater absolute risk in general among individuals >50 years of age and men. Conclusions Elevated Lp(a) is associated with higher relative risk across CAC strata, including CAC of 0. Among individuals with CAC of 0, absolute event rates remain low even when Lp(a) is elevated. CAC scoring remains a powerful tool for risk assessment among individuals with elevated Lp(a).
Initially recognized as a key cardiac feature of systemic lupus erythematosus and rheumatoid arthritis, autoimmune pericarditis has gained increasing attention given the recent advances in cardiac imaging, biomarker assessment, and understanding of immune-mediated mechanisms. The prevalence of pericardial involvement varies considerably among autoimmune diseases. Patients may have a small pericardial effusion that remains clinically silent but could also present with acute, recurrent, or chronic pericarditis. A minority develop severe complications such as tamponade or constrictive physiology. Characterizing autoimmune pericarditis is critical, particularly in an era of expanding immunomodulatory therapies. This review summarizes current knowledge on prevalence, pathophysiology, clinical presentation, and diagnostic strategies, with a particular focus on emerging therapeutics in pericardial disease associated with autoimmune disorders. Integrating rheumatology and cardiology expertise is essential to optimize the care of this heterogeneous patient population.
