Latest AI and machine learning research in stem cell research for healthcare professionals.
We present a new LSTM (P-LSTM: Progressive LSTM) network, aiming to predict morphology and states of cell colonies from time-lapse microscopy images. Apparent short-term changes occur in some types of time-lapse cell images. Therefore, long-term-memory dependent LSTM networks may not predict accurately. The P-LSTM network incorporates the images newly generated from cell imaging progressively into...
Physical therapy efficacy relies on patient compliance and motivation. However, the monotony, intensity, and expense of most therapy routines do not promote engagement. Technology-based rehabilitation has the potential to provide engaging and cost-effective treatment, leading to better compliance and mobility outcomes. We present an interactive rehabilitation robot (iRebot) as an affordable, gestu...
A 71-year-old man with gross hematuria and urinary retention showed a 7×8 cm polycystic mass compressing the prostate on the right ventral side on pel...
Artificial intelligence is advancing rapidly and making its way into all areas of our lives. This review discusses developments and potential practice...
Increases in the number of cell therapies in the preclinical and clinical phases have prompted the need for reliable and noninvasive assays to validat...
Ophthalmology has been at the forefront of many innovations in basic science and clinical research. The randomized prospective multicenter clinical tr...
Ethics can be interesting and fascinatingly compelling because of the subtle natures of its solutions in ambiguous situations. Articles on ethical iss...
The ethics of robots and artificial intelligence (AI) typically centers on "giving ethics" to as-yet imaginary AI with human-levels of autonomy in ord...
Nuclear receptors (NRs) are a superfamily of ligand-dependent transcription factors that are closely related to cell development, differentiation, rep...
BACKGROUND AND PURPOSE: After stroke, only 12% of survivors obtain complete upper limb (UL) functional recovery, while in 30% to 60% UL deficits persi...
Portacolone et al.'s Ethics Review highlights the ethical challenges associated with the implementation of telepresence devices and applications in th...
BACKGROUND: Adipose-derived mesenchymal stem cells (ADSCs) have emerged as a promising modality for cellular therapy. However, techniques of ADSC cryo...
Nano-systems for cancer co-therapy including vitamins or vitamin derivatives have showed adequate results to continue with further research studies to...
Robot-assisted therapy is an effective treatment for stroke patients and has recently gained popularity. Clinicians and researchers are trying to iden...
Within artificial intelligence, machine learning (ML) efforts in radiation oncology have augmented the transition from generalized to personalized tre...
In a 2015 Hastings Center Report essay, Robert Truog and his coauthors argued that the clinical ethics portion of medical education should cast both a...
PURPOSE: Researchers are automating the process for identifying the number of lines of systemic cancer therapy received by patients. To date, algorith...
Currently, the development of medicines for complex diseases requires the development of combination drug therapies. It is necessary because in many c...
Venture Capital (VC) funding raised by companies producing Artificial Intelligence (AI) or Machine Learning (ML) solutions is on the rise and a driver...