Research
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Project Research

AI Methods for Rapid Automated Staining and Destaining of Tissue Biopsies in Hospitals

General OverviewStaining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various ...
Project Research

Self-Learning AI Model Learns from Patient Data to Design Novel Clinical Trials

Technical summaryUnstructured learning problems without well-defined rewards are unsuitable for current reinforcement learning (RL) appro...
Project Research

Research Area | Application, Interpretability and Clinical Translation of Deep Learning Algorithms for Medical Images

Research in Dr. Shah's laboratory reduces dependence on specialized medical imaging devices, biological and chemical processes, and creat...
Project Research

Research Area | Rapid Fabrication and Integration of Medical Devices and Technologies

Dr. Shah and his research lab at MIT has significant expertise and motivation to bring problems from the clinic and society into the labo...
Project Research

Artificial Intelligence and Machine Learning in Clinical Development: A Translational Perspective

Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data ...
Project Research

Research Area | Emergent Neural Networks to Redesign Clinical Testing of Medicines and Learning from Real World Evidence

In collaboration and with guidance from the United States Food and Drug Administration (FDA),  research studies led by Dr....
Project Research

Deep Learning to Develop and Analyze Computational Hematoxylin and Eosin Staining of Tissue Images for Digital Biopsies

Staining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various tissue types and...
Research
Space Exploration Initiative

Space Exploration Initiative
Research
Nano-Cybernetic Biotrek

Inventing disruptive technologies for nanoelectronic devices and creating new paradigms for life-machine symbiosis
Research
Molecular Machines

Engineering at the limits of complexity with molecular-scale parts
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Conformable Decoders

Converting the patterns of nature and the human body into beneficial signals and energy
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Biomechatronics

Enhancing human physical capability
Article Research

MIT's Spectrum highlights Dr. Canan Dagdeviren in an article titled "Better Conforming Medical Devices"

By John Pavlus Imagine you're a patient being treated for Parkinson's Disease, which causes tremors. The disorder kills brain cells ...
Project Research

Democratizing prosthetic and diabetic care: A resilient model for healthcare delivery

As developers of prosthetic technology, we’re dedicated to understanding the challenges that people with limb loss face, not just after a...
Publication Research

Magnetomicrometry

C. R. Taylor, S. S. Srinivasan, S. H. Yeon, M. K. O'Donnell, T. J. Roberts, H. M. Herr, Magnetomicrometry, Sci.Robot. 6, eabg0656 (2021), DOI: 10.1126/scirobotics.abg0656
Project Research

Agonist-antagonist Myoneural Interface (AMI)

Humans can accurately sense the position, speed, and torque of their limbs, even with their eyes shut. This sense, known as proprioceptio...
Project Research

Neural interface technology for advanced prosthetic limbs

Recent advances in artificial limbs have resulted in the provision of powered ankle and knee function for lower extremity amputees and po...
Article Research

Surgical technique improves sensation, control of prosthetic limb

New study describes first human implementation of novel approach to limb amputation.
Project Research

Magnetomicrometry: Tissue Tracking via Implanted Magnetic Beads

Amputation, muscle weakness, and nerve damage can make it difficult to perform simple daily tasks. In this project, we are developing a ...
Post Research

Improving prosthetic control using magnetomicrometry

We plan to use magnetomicrometry to provide natural control over prosthetic limbs
Thesis Research

Magnetomicrometry: Tissue Length Tracking via Implanted Magnetic Beads

C. Taylor, Magnetomicrometry : Tissue length tracking via implanted magnetic beads (2020). https://dspace.mit.edu/handle/1721.1/130210
Publication Research

Experimentally Verified Finite Element Modeling and Analysis of a Conformable Piezoelectric Sensor

Amiri, N., Tasnim, F., Tavakkoli Anbarani, M., Dagdeviren, C.†, Karami, A.†, “Experimentally Verified Finite Element Modeling and Analysis of a Conformable Piezoelectric Sensor”, Smart Materials and Structures, 30 085017, 2021.
Archived
Research
Ethics and Governance of Artificial Intelligence

Ethics and Governance of Artificial Intelligence
Archived
Project Research

Association between COVID-19 Outcomes and Mask Mandates, Adherence, and Attitudes

We extend previous studies on the impact of masks on COVID-19 outcomes by investigating an unprecedented breadth and depth of health outc...
Archived
Publication Research

Automated end-to-end deep learning framework for classification and tumor localization from native nonstained pathology images

Akram Bayat, Connor Anderson and Pratik Shah. "Automated end-to-end deep learning framework for classification and tumor localization from native nonstained pathology images," Proc. SPIE 11596, Medical Imaging 2021: Image Processing, 115960A (15 February 2021); doi: 10.1117/12.2582303
Project Research

conformable Facial Code Extrapolation Sensor (cFaCES)

AbstractDevices that facilitate nonverbal communication typically require high computational loads or have rigid and bulky form factors&n...
Project Research

A tailored, electronic textile conformable suit for large-scale spatiotemporal physiological sensing in vivo

The rapid advancement of electronic devices and fabrication technologies has further promoted the field of wearables and smart textiles. ...
Article Research

Sensors woven into a shirt can monitor vital signs

Comfortable, form-fitting garments could be used to remotely track patients’ health.
Article Research

MIT develops machine-washable sensors that embed in clothing for constant vital sign monitoring

Its potential here on Earth has much more widespread benefit potential, particularly in the era of COVID-19.
Post Research

Frequently Asked Questions: A tailored, electronic textile conformable suit for large-scale spatiotemporal physiological sensing in vivo
Publication Research

Decoding of Facial Strains via Conformable Piezoelectric Interfaces

Sun, T.*, Tasnim, F.*, McIntosh, R. T., Amiri, N., Solav, D., Anbarani, M. T., Sadat, S., Zhang, L., Gu, Y., Karami, M. A., Dagdeviren, C.†, “Decoding of Facial Strains via Conformable Piezoelectric Interfaces”, Nature Biomedical Engineering, 4, 954–972, 2020.
Article Research

New surgery may enable better control of prosthetic limbs

Reconnecting muscle pairs during amputation gives patients more sensory feedback from the limb.
Project Research

Self-Reconfigurable Micro-Implants

New technology for next-generation wireless + batteryless micro-implantsThese wireless batteryless micro-chips can reprogram themselves i...
Project Research

Essence Wearables: Biometric Olfactory Interfaces for Day and Night

Human-computer interaction (HCI) has traditionally focused on designing and investigating interfaces that provide explicit visual, audito...
Project Research

On-Face Olfactory Interfaces

We envision that a close-to-nose interface could be used as a complementary or alternative wearable method to nasal cannulas or mask...
Publication Research

Machine learning algorithms for classification of microcirculation images from septic and non-septic patients

Perikumar Javia, Rana A, Shapiro NI, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00097
Publication Research

Computational histological staining and destaining of prostate core biopsy RGB images with generative adversarial neural networks

Aman Rana, Yauney G, Lowe A, Shah P. IEEE Xplore, Proceedings of 17th International Conference on Machine Learning and Applications (2018) (Conference acceptance rate: 14%). DOI: 10.1109/ICMLA.2018.00133
Project Research

Helping Emergency Care Physicians Diagnose Sepsis and Bacterial Infections with Machine Learning and Vision

General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significa...
Project Research

Digital Clinical Trials with Novel Machine Learning and AI Architectures

Dr. Shah was an invited speaker and a contributor at The National Cancer Policy Forum developed workshop series at the The National Acade...
Project Research

Doze: On-skin Scent Diffusion and Drug Delivery Patch

Doze is an IoT enabled platform for personalized scent diffusion and on-skin drug delivery. Leveraging a hydrogel technology, the Doze sy...
Article Research

A wearable sensor to help ALS patients communicate

Researchers have designed a skin-like device that can measure small facial movements in patients who have lost the ability to speak.
Publication Research

Low-latency tracking of multiple permanent magnets

C. R. Taylor, H. G. Abramson, and H. M. Herr, “Low-Latency Tracking of Multiple Permanent Magnets,” IEEE Sensors Journal, pp. 1–11, 2019.
Project Research

ORBIT (Olfactory Response Baseline Identification Test)

I am currently developing a new approach in conducting sensory examinations via the Olfactory Response Baseline Identification Test (O.R....
Project Research

Gamma SENSE: Sensory Engaging Nebulised Scent Experience

The Gamma SENSE (Sensory Engaging Nebulised Scent Experience) is a pioneering instrumental addition to the gamma instrument series. The d...
Project Research

Designer molecular mops: Water-soluble cytokine receptors fused with Fc domain of IgG may be therapeutic for cytokine storms

In April 2019, Shuguang Zhang's lab started to use the QTY code to design a class of water-soluble cytokine receptors, including interfer...
Project Research

QTY code designs for water-soluble beta-barrel transmembrane proteins

In collaboration with Prof. Tao Fei’s lab (Shanghai Jiaotong University, China)In addition to a large number of membrane proteins that co...
Project Research

QTY CXCR4 becomes more hydrophilic and retains cell signaling activity

In collaboration with Prof. Horst Vogel and Dr. Horst Pick (EPFL, Lausanne, Switzerland).G protein-coupled receptors (GPCRs) are vital fo...
Project Research

The QTY code: A simple tool for protein design

Structure and function studies of membrane proteins, particularly G protein-coupled receptors (GPCRs) and multipass transmembrane protein...
Article Research

Proteins may halt the severe cytokine storms seen in Covid-19 patients

Team designs antibody-like receptor proteins that can bind to cytokines, as possible strategy for treating coronavirus and other infections.
Project Research

Water-soluble transmembrane protein receptors with exchangeable and tunable ligand affinity

There are 20 chemokine receptors that bind their respective chemokines. It is not currently understood how these structurally similar rec...
Archived
Research
Ethics

Ethics Initiative
Article Research

Beyond Bias: Contextualizing “ethical AI” within the history of exploitation and innovation in medical research

"It’s time for us to move beyond 'bias' as the anchor point for our efforts to build ethical and fair algorithms."
Article Research

Machine learning shows no difference in angina symptoms between men and women

Finding could help overturn the prevailing notion that men and women experience angina differently.
Project Research

Lensing: Cardiolinguistics for Atypical Angina

Conversations between two individuals—whether between doctor and patient, mental health therapist and client, or between two people roman...
Archived
Project Research

Deep Reinforcement Learning for Pain Management

Opioid therapy is the cornerstone of management of pain in the ICU. However, opioids present numerous side effects and are highly addicti...
Archived
Publication Research

Adversarial attacks on medical machine learning

Finlayson, S. G., Bowers, J. D., Ito, J., Zittrain, J. L., Beam, A. L., & Kohane, I. S. (2019). Adversarial attacks on medical machine learning. Science, 363(6433), 1287. https://doi.org/10.1126/science.aaw4399
Post Research

Helping Physicians via Novel AI and Machine Learning Methods

Assisting physicians and patients by novel computational processes at the point-of-care.