MARY E. HARTMAN, M.D.

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In 2024, health care spending in the U.S. reached $5.3 trillion, growing by 7.2%. This increase was driven by high demand for health services, especially in hospitals and for prescription drugs. With 91.8% of the population insured, health care now takes up 18% of the overall economy, which is significant because it shows that health care costs are rising faster than the economy itself. Who this helps: This benefits patients by highlighting the importance of access to affordable health care.

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This study looked at how different immune cells in breast cancer tissue affect survival rates for patients. Researchers found that certain immune cells (CD8 and FOXP3+) are linked to better survival for women with ER-negative breast cancer, while CD8 and CD20 cells improve outcomes for ER-positive cancer. However, higher levels of CD163 are connected to worse survival in ER-positive cases. Understanding these relationships can help improve treatment strategies for breast cancer. Who this helps: This helps patients with breast cancer and their doctors by providing insights into potential treatment options.

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This study looked at why fewer than 40% of women in Singapore are getting mammograms and how their knowledge and feelings about breast cancer screening influence their willingness to participate. The researchers found that 79% of women who took part were aware of breast cancer, and those who were aware were nearly three times more likely to be motivated to get screened than those who were not aware. The study highlights the importance of addressing emotional barriers and tailoring educational efforts to encourage more women to take part in breast cancer screenings. Who this helps: This helps women in Singapore who may hesitate to get screened for breast cancer, as well as healthcare providers developing education programs.

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This study looked at how effective and affordable using artificial intelligence (AI) in breast cancer screening would be in Singapore. It found that combining AI with a radiologist saves money and provides similar health benefits compared to having two radiologists read the results. Specifically, using both an AI and a radiologist costs about $18.86 million and results in a very small increase in quality of life compared to the traditional method, while using AI alone is also effective but at a higher cost of $20.53 million. Who this helps: This benefits patients by potentially increasing access to affordable breast cancer screenings.

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This study looked at how different genetic reference panels used in research affect the discovery of genetic links to breast cancer in Asian populations. Researchers found that using the SG10K_Health reference panel instead of the common 1000 Genomes panel led to more accurate detection of rare genetic variants in nearly 39,000 Asian breast cancer samples. This is important because better understanding of genetic risks in these populations can lead to improved prevention and treatment strategies. Who this helps: This helps patients and doctors in Asian populations.

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In 2023, healthcare spending in the U.S. rose to $4.9 trillion, marking a 7.5% increase from the previous year. With 92.5% of the population now insured, growth in private health insurance and Medicare spending surged, while Medicaid experienced slower growth as the COVID-19 emergency ended. This matters because it shows how healthcare costs are rising significantly as more people get coverage, impacting the economy and individual access to care. Who this helps: This helps patients and healthcare providers by highlighting trends in insurance and spending.

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The research examined ways to reduce breast cancer risk among women in East and Southeast Asia, focusing on options like lifestyle changes, preventive surgeries, and medications. It found that most studies on this topic looked at surgical options, especially in South Korea, but there were fewer studies on medication-based prevention. Since not all women are informed equally about their risks and protective measures, improving guidance on effective strategies is crucial for reducing breast cancer rates. Who this helps: This information benefits women at risk for breast cancer, healthcare professionals, and public health officials.

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This study reviewed how Artificial Intelligence (AI) is being used to improve breast cancer care around the world. Researchers looked at 84 articles and found that AI can help with various tasks, like screening (32 studies), detecting cancer status (7), and assessing treatment responses (23), which can lead to better diagnosis and treatment planning. However, most studies didn’t report on direct patient outcomes and highlighted ongoing challenges, like the need for better data quality and equal access to these technologies. Who this helps: This benefits patients by potentially providing them with more accurate diagnoses and personalized treatments for breast cancer.

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This study looked at how husbands view breast cancer screening and how they can influence their wives' decisions to get screened. It involved discussions with 19 husbands and a survey of 3,395 women, revealing that while husbands care about their wives' health and are supportive, there are gaps in communication and awareness that might limit their impact. Most husbands were open to risk-based screening but had concerns about how often tests should happen and how to understand the results, emphasizing the need for better communication strategies to encourage more women to get screened. Who this helps: This helps women at risk for breast cancer and their husbands.

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This study looked at how different factors like family history and genetic information can help identify women at high risk of developing breast cancer. The researchers examined nearly 180,000 women and found that using a genetic risk score was better at predicting breast cancer than just family history alone; for example, the genetic score's predictive ability was significantly higher, with an AUC (a measurement of accuracy) of 0.635 compared to 0.492 for the family history model in European women. These findings matter because they point to the need for a more complete approach to risk assessment, ensuring that more high-risk individuals are identified and can receive appropriate screening and prevention strategies. Who this helps: This helps patients by improving breast cancer risk assessments and early detection strategies.

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This study looked at a new imaging technique called ultrasound-guided photoacoustic tomography (US-PA) to help doctors determine if they have removed all the cancer during breast-conserving surgery, especially after patients have undergone chemotherapy. The results showed that US-PA was very accurate with a diagnostic accuracy of 89%, and it was particularly good at identifying patients who did not need further surgery, with a sensitivity of 100%. This technology is important because it could reduce the chances of patients needing additional surgeries and help prevent cancer from returning. Who this helps: This benefits breast cancer patients and their surgeons by providing a reliable method to ensure complete cancer removal during surgery.

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This study looked at two types of home-based breathing exercises, called inspiratory muscle training (IMT), to see if they could help patients with COPD improve their breathing strength and physical ability. Over eight weeks, 36 patients used either a breathing method with feedback or a different mechanical method, both of which showed better results in muscle strength and exercise ability compared to a control group that didn't receive real training. Specifically, the group using the feedback method significantly increased their muscle work capacity and walking distance. Who this helps: This research benefits COPD patients, especially those who cannot easily access traditional therapy programs.

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This study looked at patients with heart failure to see if grouping them by various characteristics could better predict their risk of dying or being readmitted to the hospital than the traditional method based on heart function tests. Researchers analyzed data from over 1,000 patients and identified three distinct groups: one group of men with severe heart issues, a second group of older women with preserved heart function and other health problems, and a third group of younger patients with some severe risk factors. The first two groups had a higher risk of dying and longer hospital stays compared to the third group, making it clear that more tailored classifications can help in identifying patients who need closer monitoring. Who this helps: This helps doctors better assess the risks for patients with heart failure.

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This study looked at how personalized breast cancer risk predictions affect how women view their own risk of developing the disease. Among over 4,000 women aged 35 to 59, many initially believed their risk was lower than it actually was, with 43% thinking their risk was low before knowing their predicted risk. After receiving their risk predictions, 35% of the women adjusted their perceptions, and those who underestimated their risk were nearly eight times more likely to feel uncertain about the accuracy of their predictions. Who this helps: This helps women aged 35 to 59 by giving them clearer insights into their breast cancer risks.

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This study looked at how artificial intelligence (AI) can improve breast cancer screening but found several challenges in making it work effectively. Out of 1240 studies reviewed, only 20 were relevant and highlighted issues like the need for better guidelines, professional training, and trust in the technology. These findings are important because they help create a clear plan for how to safely and effectively integrate AI into breast cancer screening programs, which could ultimately lead to better patient outcomes. Who this helps: This helps patients and healthcare providers by improving breast cancer screening processes.

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This study examined ATR-X syndrome, a rare genetic disorder, by analyzing 22 individuals aged 2 to 68 in the Netherlands. Researchers found that 70% had genital abnormalities and 30% had alpha thalassemia, along with a variety of other health issues such as visual impairment (61%) and behavioral problems (86%). Understanding the clinical features of ATR-X syndrome is important for improving patient care and exploring future treatments. Who this helps: This research benefits patients with ATR-X syndrome, their families, and healthcare providers.

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This study looks at a specific form of sexual violence called nonconsensual condom removal, or "stealthing." It presents the case of a 25-year-old transgender man (referred to as AK) who experienced this violation during sex, highlighting its emotional and physical impact. The findings emphasize the need for improved research and support to address this troubling trend, especially since victims often face serious consequences like mental health issues and the risk of sexually transmitted infections. Who this helps: This helps victims of sexual assault, healthcare providers, and support organizations.

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This study looked at eight follow-up programs in children's intensive care units (PICUs) across the U.S. from 2013 to 2022. It found that these programs help monitor and support children after they leave intensive care, focusing on their physical and mental health needs, and they can provide important connections to additional healthcare services. Improving follow-up care is crucial because many children face long-term health challenges after critical illnesses, and better support can lead to overall improved outcomes. Who this helps: This benefits children who have been in intensive care and their families.

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Researchers examined a group of men in a dormitory in Singapore who were repeatedly exposed to the SARS-CoV-2 virus but remained uninfected. They found that 135 of these "seronegative" individuals had higher levels of specific immune cells (CD4 T-cells) and were less likely to get infected after quarantine measures were lifted, with infection rates of 21% for them compared to 39% for noninfected controls. This indicates that these immune responses may offer some protection against the virus, which could be important for developing future prevention strategies. Who this helps: This helps patients at high risk of COVID-19 infection.

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This study focused on increasing the number of Malay-Muslim women in Singapore who get mammograms, as they have lower screening rates despite facing higher breast cancer mortality. By providing 319 women with 8 minutes of doctor's counselling along with a culturally relevant pamphlet, the researchers found that those who received this counselling were 1.64 times more likely to get a mammogram than those who received regular dietary advice. This is important as it shows that personalized, culturally sensitive communication from doctors can significantly improve health screening rates. Who this helps: This helps Malay-Muslim women by encouraging them to get breast cancer screenings.

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This study looked at the effectiveness of two different home-based breathing exercises for patients with chronic obstructive pulmonary disease (COPD). It found that the group using a new method called TIRE (Test of Incremental Respiratory Endurance) improved their breathing strength by 31.7% after six months, which was better than those using a traditional method or no actual training at all. This matters because improved lung function can significantly enhance the quality of life for COPD patients, especially since many struggle to access in-person rehabilitation. Who this helps: Patients with COPD.

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The study focused on creating a training program for a specific type of breast surgery called endoscopic nipple-sparing mastectomy. Researchers found that practicing on simulations was crucial for building confidence and reducing mistakes during actual surgeries. They also discovered that starting with simpler cases, such as patients with low breast density and tumors located away from the center, allowed trainees to learn better without being overwhelmed. Who this helps: This benefits medical trainees and ultimately their patients by improving surgical skill and patient outcomes.

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This study looked at how well a polygenic risk score (PRS) can predict breast cancer risk in Asian women who carry specific genetic changes (BRCA1 and BRCA2). Researchers found that the Asian-specific PRS was linked to a higher risk of breast cancer, with those using this score being 47% more likely to develop breast cancer for BRCA1 carriers and 43% more likely for BRCA2 carriers. This matters because using this tailored PRS can help better assess cancer risk for women with these genetic variants in Asian populations. Who this helps: This helps patients with BRCA1 and BRCA2 variants and their healthcare providers.

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The BREATHE study explored a personalized breast cancer screening program for women in Singapore aged 35 to 59. Out of nearly 4,600 women who joined the study, those in the older age groups had a higher risk for breast cancer: 2% for ages 35-39, 31% for ages 40-49, and 42% for ages 50-59. This program showed that women appreciated knowing their breast cancer risk, which motivated them to get screened, making it a valuable approach for improving early detection. Who this helps: This helps women in Singapore, especially those in higher-risk age groups.

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This study compares two treatments for idiopathic granulomatous mastitis (IGM), a rare condition mostly affecting young to middle-aged women. Researchers want to see if methotrexate is more effective than steroids in treating IGM over a six-month period. They will involve 40 patients to determine which treatment leads to a better response in terms of healing and fewer relapses. Who this helps: This benefits patients with idiopathic granulomatous mastitis by providing clearer treatment options.

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This study looked at women with an uncommon breast condition called idiopathic granulomatous mastitis (IGM) to see what factors might indicate a need for more aggressive treatment after starting with corticosteroids. Out of 52 women, half required additional treatment with methotrexate, and factors such as using oral contraceptives, smoking, experiencing flare-ups, and needing fluid aspiration were linked to this need. The findings suggest that identifying these predictors early can help doctors offer tailored treatment options to improve patient outcomes. Who this helps: Patients with idiopathic granulomatous mastitis.

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This study looked at how well an AI tool called TheSerenityBot (TSB) can help make treatment recommendations for women with breast cancer after surgery, compared to other AI models like Claude-2 and GPT-4. Out of 50 patients analyzed, TSB had the highest accuracy at 89%, while Claude-2 was at 86% and GPT-4 at 78%. This matters because using AI tools like TSB can lead to more consistent and accurate treatment plans, which can ultimately improve patient care. Who this helps: Patients with breast cancer undergoing postoperative treatment.

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This study looked at how artificial intelligence (AI) affects the ability of radiologists to detect breast cancer during mammograms in Singapore. Researchers found that AI assistance improved the accuracy of diagnoses, especially for less experienced radiologists; for example, junior residents' accuracy increased from 0.84 to 0.86. Improving detection rates is crucial as breast cancer is the most common cancer among women, and AI can help bridge the gap in skills among radiologists. Who this helps: Patients at risk of breast cancer, especially those with dense breast tissue.

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This study looked at various ways to change gut bacteria to see if they could help reduce symptoms of depression in adults who were not using antidepressants. Out of 66 trials reviewed, 34 showed that these methods made a real difference in improving depressive symptoms. However, because the studies differed widely in how they were conducted and what treatments they used, it's hard to make clear recommendations on this approach right now. Who this helps: This research benefits patients with depression who are seeking alternative treatment options.

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This study looked at how different genetic testing methods affect the classification of breast cancer risk using a polygenic risk score (PRS) based on 313 genetic variants. It found that results varied significantly across four genotyping platforms, with only 7 out of 92 individuals categorized as high risk on all platforms, while 26 were high risk on at least one. This is important because it shows that the choice of testing method can change how patients are assessed for their cancer risk, leading to potentially different monitoring or treatment decisions. Who this helps: This helps patients by providing more accurate assessments of their breast cancer risk.

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This study looked at breast cancer patients in Singapore through the Joint Breast Cancer Registry, which has information on over 35,000 patients diagnosed since 1980. The researchers found that about 25% of deaths among these patients were due to breast cancer and highlighted that differences in ethnic backgrounds and socioeconomic status affected treatment outcomes. This information is important because it helps identify areas where healthcare can improve and ensures that treatments are more effectively tailored to different patient groups. Who this helps: This helps patients and healthcare providers by improving treatment strategies and outcomes.

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This study focused on improving the BOADICEA model, which predicts breast and ovarian cancer risks, to better reflect the diverse ethnic groups in the UK, as it was mainly based on data from White individuals. The researchers found that non-White women had lower average risks for these cancers compared to White women, and fewer were classified as having moderate or high-risk levels—specifically, the risk calculations were revised to show that non-White groups generally had a narrower range of risk. This adjustment is important because it means that cancer risk assessments can be more accurate and appropriate for a wider range of women. Who this helps: This benefits women from various ethnic backgrounds in the UK.

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This study looked at how well different methods predict the risk of breast cancer in over 180,000 women, focusing on family history, genetic risk scores, and traditional models. It found that genetic risk scores were particularly useful for assessing younger women under 50, with a significant likelihood of developing invasive cancer (over twice as likely, with an odds ratio of 2.51). Meanwhile, traditional models like the Gail model were less effective, especially for younger Asian women. Who this helps: This benefits patients and doctors by providing better risk assessment tools for identifying high-risk individuals.

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This study looked at the genetics behind mammographic density (MD), which is an important factor related to breast cancer risk, specifically in Asian women. Researchers identified 175 new genetic locations that might affect MD in a group of nearly 3,000 Asian women, and found that four of those locations were significant when tested in another group of 401 women. Understanding these genetic links is crucial because it helps in assessing breast cancer risk more accurately for Asian women, who have been underrepresented in such research. Who this helps: This helps Asian women and their healthcare providers in better understanding breast cancer risk factors.

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This study looked at how effective home-based exercise with telehealth support is for lymphoma cancer survivors who are starting cardio-oncology rehabilitation. Over 12 weeks, participants followed a guided exercise program aimed at gradually working up to exercising 30-50 minutes three times a week. The study seeks to measure improvements in fitness and quality of life, comparing those doing the exercise at home with those attending a rehabilitation center. Who this helps: This helps lymphoma cancer survivors who need support in improving their fitness after treatment.

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This study looked at genetic variants in breast cancer genes to see if certain combinations of gene variants provide evidence about the likelihood of causing breast cancer. Researchers analyzed data from over 55,000 individuals with breast cancer and found that when specific gene variants (in BRCA1, BRCA2, and PALB2) were present with other variants, they were less common than expected, suggesting these combinations do not lead to cancer. This finding is important because it can help doctors better classify genetic variants, improving risk assessment and treatment decisions for patients. Who this helps: Patients with a family history of breast cancer and their doctors.

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This study examined a new imaging technique called ultrasound-guided photoacoustic (US-PA) tomography, which uses light to analyze breast tissue samples from women who had breast-conserving surgery. Researchers found that levels of lipids decreased while collagen levels increased in denser breast tissues, and collagen levels were significantly different between cancerous and normal tissues. These findings suggest that US-PA imaging could improve breast cancer diagnosis and help doctors better assess surgical margins. Who this helps: This helps patients and doctors by providing better tools for diagnosing and managing breast cancer.

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This study looked at how well the ChatGPT-4 language model can assist community pharmacists by answering questions about medications and providing patient care advice. The results showed that ChatGPT gave accurate information about specific drugs and was able to make sound recommendations for patient care scenarios, like identifying possible drug reactions in patients. This is important because it highlights that technology like ChatGPT can be a helpful tool in pharmacies, potentially improving patient management and safety. Who this helps: This benefits patients and pharmacists by improving medication management and care support.

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This study looked at eight patients with idiopathic granulomatous mastitis (IGM), which causes ongoing inflammation in the breast, to understand if there is a genetic cause behind it. Researchers used advanced genetic testing but didn’t find strong evidence for a common genetic reason for IGM, as only three genes showed minor changes among the patients. This finding matters because it means that IGM's cause isn't likely to be genetic, prompting the need to investigate other factors that might trigger this condition. Who this helps: This helps patients with IGM and their doctors by steering research towards other possible causes of the disease.

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This study looked at how to effectively share breast cancer risk information with Asian women, specifically those from Indonesia and Singapore. Researchers held discussions with 32 women and found that they preferred personalized reports that included clear, simple language and specific steps to reduce their risk. Singaporean women were less likely to follow up with doctors if they received a low-risk result, showing differences in awareness about breast cancer prevention between the two countries. This research is important because it highlights how to communicate health information clearly, which can improve understanding and engagement in healthcare. Who this helps: This helps patients, particularly Asian women at risk for breast cancer.

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This study looked at how well an artificial intelligence (AI) tool called FxMammo can help detect breast cancer that appears in the opposite breast after a patient has already had cancer. Out of 10 patients studied, the AI correctly identified cancer in 6 cases (60%), while doctors found it in 5 cases (50%). Importantly, the AI even recognized some cancers up to a year earlier than the doctors did, showcasing its potential to improve early detection of this challenging condition. Who this helps: This benefits patients who are at risk for breast cancer recurrence.

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This study looked at how different reproductive factors, like the number of children a woman has (parity) and the age at which she has her first child, affect mammographic density (MD), which is related to breast cancer risk. Researchers analyzed data from nearly 11,000 women and found that having more children is linked to lower MD, while having a child later in life is associated with higher MD. Understanding these relationships is important because they may help explain how reproductive factors influence breast cancer risk. Who this helps: Women concerned about breast cancer and healthcare providers.

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Researchers looked at how doctors diagnose and treat idiopathic granulomatous mastitis (IGM), a rare breast condition mainly affecting women. They interviewed nine clinicians from Singapore, Malaysia, and Egypt, finding that diagnoses usually rely on imaging and tissue samples, while treatment often includes corticosteroids, but there's a lot of variation in how they are prescribed. The study highlights the need for clearer testing methods and consistent treatment guidelines to improve care for patients, emphasizing the importance of future trials to create standardized approaches. Who this helps: This helps patients with idiopathic granulomatous mastitis by pushing for better diagnosis and treatment options.