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Tag: Duke School of Medicine

Advancing Immunotherapy for Glioblastoma

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Vidyalakshmi Chandramohan, associate professor in neurosurgery and pathology, and member of the Duke Cancer Institute. Credit: Duke Department of Neurosurgery

Duke professor Vidyalakshmi Chandramohan is a pioneering neuro-oncologist whose work is redefining the future of glioblastoma (GBM) treatment. As a researcher in the Department of Neurosurgery at Duke, she is driven by a profound commitment to improving patient outcomes and providing new hope for those battling one of the most aggressive forms of brain cancer.

Her journey into science began with an interest in immunology and oncology, which led her to earn a Ph.D. and conduct postdoctoral research focused on the complex relationship between cancer and immune responses. Her fascination with GBM stemmed from the urgent need to develop innovative treatments for a disease with limited therapeutic options. Today, her groundbreaking research offers new avenues for fighting GBM and improving patient survival.

PET scan showing glioblastoma brain cancer. Credit: Wikimedia Commons.

Chandramohan’s work is centered on immunotherapy, particularly the development of D2C7-IT, a dual-specific immunotoxin currently in Phase I clinical trials for recurrent GBM patients. This precision medicine approach targets tumors with remarkable specificity, minimizing damage to healthy tissue. Her ongoing research aims to enhance the efficacy of D2C7-IT and expand its potential as a viable alternative to traditional treatments.

For Chandramohan, translating her research into tangible solutions is essential. “Developing a therapy is one thing, but making sure it works in the real world is another,” she says. She is exploring ways to combine D2C7-IT with other therapies to improve treatment outcomes and minimize side effects, pushing the boundaries of what is possible in GBM care.

A critical aspect of her research involves identifying biomarkers that predict patient responses to treatment, enabling personalized therapies. “Personalized medicine is the future,” she believes. “Tailoring treatment to each patient’s unique response will improve survival rates and outcomes.”

Collaboration is at the heart of Chandramohan’s work. She fosters an interdisciplinary environment where scientists, clinicians, and engineers work together toward a shared goal. “No one person can do it all,” she emphasizes. “It takes a community of experts to make breakthroughs happen.”

Despite the challenges of translating research into clinical practice, Chandramohan remains unwavering in her determination. “When our work leads to better treatment options, it reminds us why we do this every day,” she says. Her dedication to improving patient care fuels her optimism for the future of GBM treatment.

Looking ahead, Chandramohan is hopeful that the integration of immunotherapy, precision medicine, and innovative technologies will revolutionize the field of neuro-oncology. “We’re just scratching the surface,” she says, confident in the potential to improve outcomes for GBM patients.

Through her relentless pursuit of excellence, Chandramohan is not only advancing the science of glioblastoma treatment but also inspiring the next generation of researchers to push the boundaries of what is possible in the fight against cancer.

Blog post by Adarsh Magesh, NCSSM Class of 2025


Climate of Care: Addressing the Health Impacts of Climate Change

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In an increasingly polarizing world, the discussion surrounding human rights remains at the forefront of all that we do as a society. People are becoming more aware, as, these days, violations are displayed right before our eyes. With a click of a button or a swipe of the thumb, people are able to see travesties occurring throughout all parts of the world. Developments in technology help us remain knowledgeable about such issues, but what about the offenses that we don’t see—the silent killers that we chalk up to poor fate, to chance? What about the violations in which we ourselves play a major role? These are urgent questions that researchers at the Duke School of Medicine are working to answer, with a specific focus on the deadly impacts of climate change.

In times of crisis, the most disadvantaged communities bear the greatest burden. The researchers recognize that climate change is no different and have strategized ways to reverse these effects. They presented their research in a recent talk, titled Climate Change and Human Health: Creating a Strategic Plan for Duke’s School of Medicine. Associate Professor and lung disease expert Dr. Robert Tighe led the conversation.

A photo of Dr. Robert Tighe. Courtesy of Duke’s Department of Medicine Website.

While presenting his research, Tighe identified a major shift in sea surface temperature trends, noting that the trend has deviated greatly from the statistical norm. Although the reasons behind this shift are not fully understood, it is believed to have serious implications, as excess heat poses risks to human health. According to the Centers for Disease Control, increasing temperatures and carbon dioxide have the potential to impact water quality, air pollution, allergens, and severe weather conditions. These conditions, in turn, bring forth respiratory allergies, cholera, malnutrition, and cardiovascular disease, to name a few. Tighe’s research goes beyond the general effects of these issues; it delves into how they disproportionately impact the most vulnerable members of society: children, the elderly, low-income communities, and communities of color.

A chart containing information about the most vulnerable parts of population to the effects of climate change. Courtesy of Biological Science.

On a local scale, Tighe highlights that many in these vulnerable positions often lack access to the healthcare necessary to mitigate these impacts. For instance, low-income citizens are often unable to afford the costs associated with repairing the physical damage climate change inflicts on their homes, leaving them exposed to pollutants and the effects of environmental toxins. The elderly also find themselves in similarly precarious scenarios, as many of these situations require evacuation—something not always feasible for those in fragile health. Consequently, they too are left exposed to pollutants and dietary challenges exacerbated by climate change.

On a global scale, these issues heavily impact countries in vulnerable positions. The United States, China, India, the European Union, and Russia are among the largest contributors to carbon emissions. However, the consequences of this burden fall disproportionately on countries like Bangladesh, Haiti, Mozambique, small island nations, and others. Due to their geographic locations, climate change brings far more than just hotter days—it brings devastating hurricanes, tsunamis, cyclones, and widespread malnutrition. The limited financial resources in these nations make rebuilding and mitigating these impacts extraordinarily challenging, especially as many climate effects are recurring. This disparity is particularly frustrating, as these countries contribute only a fraction of the world’s carbon emissions.

A map of the global climate risks. Courtesy of the New York Times.

This is precisely what Tighe’s work aims to address. He is working to connect the science on climate change effects, researched by those in the School of Medicine, with that of the Nicholas School of the Environment. Referring to this as an interdisciplinary issue, Tighe believes that the place to begin is within the community. He emphasizes the importance of starting with the people of Durham: What do they need? How can we best help them? How does this affect our own backyard? He stresses the importance of outreach, educating the community on how climate has long-term impacts on their health. Tighe also underscores the need to view this as an opportunity to combine diverse strengths to address the crisis from every angle.

In the face of a climate crisis that goes beyond borders and affects the most vulnerable among us, Tighe’s and his fellow researchers’ work is a call to action. By fostering collaboration between scientific fields and engaging directly with local communities, he develops an approach that is both comprehensive and compassionate.  His work reminds us that addressing climate change isn’t just a scientific or political issue—it’s a deeply human one, demanding a united effort for the wellbeing of all under the sun.

Post by Gabrielle Douglas, Class of 2027
Post by Gabrielle Douglas, Class of 2027

Duke experts discuss the potential of AI to help prevent, detect and treat disease

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Sure, A.I. chatbots can write emails, summarize an article, or come up with a grocery list. But ChatGPT-style artificial intelligence and other machine learning techniques have been making their way into another realm: healthcare.

Imagine using AI to detect early changes in our health before we get sick, or understand what happens in our brains when we feel anxious or depressed — even design new ways to fight hard-to-treat diseases.

These were just a few of the research themes discussed at the Duke Summit on AI for Health Innovation, held October 9 – 11.

Duke assistant professor Pranam Chatterjee is the co-founder of Gameto, Inc. and UbiquiTx, Inc. Credit: Brian Strickland

For assistant professor of biomedical engineering Pranam Chatterjee, the real opportunity for the large language models behind tools like ChatGPT lies not in the language of words, but in the language of biology.

Just like ChatGPT predicts the order of words in a sentence, the language models his lab works on can generate strings of molecules that make up proteins.

His team has trained language models to design new proteins that could one day fight diseases such as Huntington’s or cancer, even grow human eggs from stem cells to help people struggling with infertility.

“We don’t just make any proteins,” Chatterjee said. “We make proteins that can edit any DNA sequence, or proteins that can modify other disease-causing proteins, as well as proteins that can make new cells and tissues from scratch.”

Duke assistant professor Monica Agrawal is the co-founder of Layer Health. Credit: Brian Strickland

New faculty member Monica Agrawal said algorithms that leverage the power of large language models could help with another healthcare challenge: mining the ever-expanding trove of data in a patient’s medical chart.

To choose the best medication for a certain patient, for example, a doctor might first need to know things like: How has their disease progressed over time? What interventions have already been tried? What symptoms and side effects did they have? Do they have other conditions that need to be considered?

“The challenge is, most of these variables are not found cleanly in the electronic health record,” said Agrawal, who joined the departments of computer science and biostatistics and bioinformatics this fall.

Instead, most of the data that could answer these questions is trapped in doctors’ notes. The observations doctors type into a patient’s electronic medical record during a visit, they’re often chock-full of jargon and abbreviations.

The shorthand saves time during patient visits, but it can also lead to confusion among patients and other providers. What’s more, reviewing these records to understand a patient’s healthcare history is time-intensive and costly.

Agrawal is building algorithms that could make these records easier to maintain and analyze, with help from AI.

“Language is really embedded across medicine, from notes to literature to patient communications to trials,” Agrawal said. “And it affects many stakeholders, from clinicians to researchers to patients. The goal of my new lab is to make clinical language work for everyone.”

Duke assistant professor Jessilyn Dunn leads Duke’s BIG IDEAs Lab. Credit: Brian Strickland

Jessilyn Dunn, an assistant professor of biomedical engineering and biostatistics and bioinformatics at Duke, is looking at whether data from smartwatches and other wearable devices could help detect early signs of illness or infection before people start to have symptoms and realize they’re sick.

Using AI and machine learning to analyze data from these devices, she and her team at Duke’s Big Ideas Lab say their research could help people who are at risk of developing diabetes take action to reverse it, or even detect when someone is likely to have RSV, COVID-19 or the flu before they have a chance to spread the infection.

“The benefit of wearables is that we can gather information about a person’s health over time, continuously and at a very low cost,” Dunn said. “Ultimately, the goal is to provide patient empowerment, precision therapies, just-in-time intervention and improve access to care.”

Duke associate professor David Carlson. Credit: Brian Strickland

David Carlson, an associate professor of civil and environmental engineering and biostatistics and bioinformatics, is developing AI techniques that can make sense of brain wave data to better understand different emotions and behaviors.

Using machine learning to analyze the electrical activity of different brain regions in mice, he and his colleagues have been able to track how aggressive a mouse is feeling, and even block the aggression signals to make them more friendly to other mice.

“This might sound like science fiction,” Carlson said. But Carlson said the work will help researchers better understand what happens in the brains of people who struggle with social situations, such as those with autism or social anxiety disorder, and could even lead to new ways to manage and treat psychiatric disorders such as anxiety and depression.

Credit: Brian Strickland.
Robin Smith
By Robin Smith

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