Owen has revealed that his 13-year-old son, James, was diagnosed with Stargardt disease several years ago, which means his retina will slowly degenerate, causing a loss of vision.

This paper presents a deep learning algorithm for tomographic reconstruction (GANrec). The algorithm uses a generative adversarial network (GAN) to solve the inverse of the Radon transform directly. It works for independent sinograms without additional training steps. The GAN has been developed to fit the input sinogram with the model sinogram generated from the predicted reconstruction. Good quality reconstructions can be obtained during the minimization of the fitting errors. The reconstruction is a self-training procedure based on the physics model, instead of on training data. The algorithm showed significant improvements in the reconstruction accuracy, especially for missing-wedge tomography acquired at less than 180° rotational range. It was also validated by reconstructing a missing-wedge X-ray ptychographic tomography (PXCT) data set of a macroporous zeolite particle, for which only 51 projections over 70° could be collected. The GANrec recovered the 3D pore structure with reasonable quality for further analysis. This reconstruction concept can work universally for most of the ill-posed inverse problems if the forward model is well defined, such as phase retrieval of in-line phase-contrast imaging.

Joint statements from the national science academies of the G7 nations were delivered today to the Italian government in advance of the G7 Summit to be held in Taormina, Italy, at the end of May.

Boston BioLife will be hosting a workshop and lecture event for regenerative medicine this November 17th, 18th, and 19th at the Hilton San Diego Resort & Spa in San Diego, California.

The November edition highlights Miami Beach's Power Players of 2017 is on newsstands now

Dr. Kim K. Chai visits countries outside of the US to seek new information regarding regenerative medicine.

We're here to debunk 5 common myths surrounding regenerative medicine, to put to rest any misleading information.

BioCure Regenerative Medicine Offers a More Effective Orthopedic Option than Surgery

Ms. Wildcraft founded The Grow Network in response the United States' failing food system

Optimus, FQ-GAN and Prevalent bring new ideas to apply generative models at large scale.

Workshop by OPENRNDR × Politecnico di Milano This year, we... more

Image analysis in the field of digital pathology has recently gained increased popularity. The use of high-quality whole slide scanners enables the fast acquisition of large amounts of image data, showing extensive context and microscopic detail at the same time. Simultaneously, novel machine learning algorithms have boosted the performance of image analysis approaches. In this paper, we focus on a particularly powerful class of architectures, called Generative Adversarial Networks (GANs), applied to histological image data. Besides improving performance, GANs also enable application scenarios in this field, which were previously intractable. However, GANs could exhibit a potential for introducing bias. Hereby, we summarize the recent state-of-the-art developments in a generalizing notation, present the main applications of GANs and give an outlook of some chosen promising approaches and their possible future applications. In addition, we identify currently unavailable methods with potential for future applications.

An exemplary embodiment provides a regenerative burner apparatus. The apparatus includes a burner housing having a gas channel and a single-stage heat regenerator equipped with a housing enclosing a fluid-porous heat regenerative media bed. A first gas passageway in the housing directly interconnects the gas channel and the lower surface of the media bed. A second gas passageway in the housing interconnects an opening in the housing communicating with the exterior and the upper surface of the media bed. This arrangement allows hot waste combustion gases to pass upwardly through the media bed so that any condensable contaminant in the gases condenses to a liquid and flows out of the bed under gravity before becoming solid and clogging the bed. The liquid contaminant may then be removed from the regenerator from a position below the media bed.

This invention relates to methods for improved cell-based therapies for retinal degeneration and for differentiating human embryonic stem cells and human embryo-derived into retinal pigment epithelium (RPE) cells and other retinal progenitor cells.

Systems and methods for improving operation of a hybrid vehicle are presented. In one example, an electrical load may be automatically activated to consume electrical energy produced during driveline braking so that driveline braking may be extended. The electrical load may be a windscreen heater or other device.

Peptides having a structure characterized by the presence of two loops constrained in cyclic structure by the presence of covalent bonds between amino acid side chains, the amino acid sequences of the first and the second loop being substantially homologues to that of loop 1 (residues 29-38) and of loop 4 (residues 92-97) of NGF, respectively, displaying nerve growth factor (NGF) agonist or partial agonist activity.

A method for repairing an aged or damaged asphalt pavement is provided. The method involves preparing a surface of the aged or damaged asphalt pavement by filling in deviations from a uniform surface plane with dry aggregate and compacting the dry aggregate; applying a reactive asphalt emulsion to the prepared surface; and passing an emitter over the prepared pavement, wherein the emitter generates electromagnetic radiation having a wavelength of from 2-5 mm that penetrates into the pavement to a depth of at least 2 inches. The asphalt pavement is repaired by disturbing voids and interstices in the damaged pavement without dehydrogenation of the asphalt, such that oligomers present in the aged asphalt are linked together into longer polymer chains to improve ductility of the aged asphalt.

An electric driving type utility vehicle having a regenerative brake force distribution control function, and a regenerative brake force distribution control method thereof are provided. The utility vehicle includes: a controller for controlling an output and a recovery of a motor; recovery sensing means for sensing a recovery braking state when the motor is driven; a power measurement unit for measuring the amount of recovery power generated in the recovery braking state; and a power switching unit for automatically switching a drive mode from a two-wheel drive mode to a four-wheel drive mode or vice versa according to the load condition. The present invention can switch the present mode to the four-wheel drive mode by operating the power switching unit according to the control of the controller when sensing the recovery brake through the recovery sensing means in the driving state.

An exoatmospheric vehicle uses a control system that includes a thrust system to provide thrust to control flight of the vehicle. A regenerative heat system is used to preheat portions of the thrust system, prior to their use in control of the vehicle. The heat for preheating may be generated by consumption of a fuel of the vehicle, such as a monopropellant fuel. The fuel may be used to power a pump (among other possibilities), to pressurize the fuel for use by thrusters of the thrust system. The preheated portions of the thrust system may include one or more catalytic beds of the thrust system, which may be preheated using exhaust gasses from the pump. The preheating may reduce the response time of the thrusters that have their catalytic beds preheated. Other thrusters of the thrust system may not be preheated at all before operation.

A natural gas-containing stream such as biogas from landfills and sewage treatment plants is freed of siloxane contaminants by passing the biogas through a bed containing an adsorbent having a neutral surface, which adsorbs the siloxanes. When the bed of neutral adsorbent is filled to capacity, the adsorbent bed is heated to remove the siloxanes and regenerate the bed. The neutral adsorbent reduces disadvantageous reactions between the adsorbent and siloxane and other impurities in the natural gas-containing stream.

A regenerative burner device for a furnace and a method of removing contaminants from such a device. The burner device includes a burner for introducing heat and waste gas into a furnace during ignition when supplied with fuel and a combustion gas, a media bed comprising refractory particles, and ducting for delivering combustion gas to said burner during ignition, and for drawing waste gas from said furnace on termination of ignition. The ducting causes the combustion gas and the waste gas to pass in succession through the media bed. Means are provided for periodically delivering a rapid flow of a decontaminating gas into said media bed. The rapid flow is of sufficient force to dislodge contaminants collected in the media bed from said waste gas.

Provided herein are methods of treatment to regenerate, restore or rejuvenate a tissue. Methods include making adult somatic and germ cells pluripotent for administration to a patient. Alternatively, created pluripotent cells may be differentiated to the desired tissue type and administered to a patient to repair or enhance the target tissue.

A Tamworth teacher has developed the first Australian curriculum exploring regenerative agriculture.

Modern consumers want to know more about the story of their food where it came from, how it was produced and farmers in WA are taking advantage of the trend.

Digital Artisan, a Japanese design lab has teamed up with chemicals company JSR Corporation, , Castem, a manufacturer of precision casting parts, to create “Generative Heel – Formless” high heel shoes using 3D printing technology.

Regenerative pain medicine, which seeks to harness the body’s own reparative capacity, is rapidly emerging as a field within pain medicine and orthopedics. It is increasingly appreciated that common analgesic mechanisms for these treatments depend on neuroimmune modulation. In this Review, we discuss recent progress in mechanistic understanding of nociceptive sensitization in chronic pain with a focus on neuroimmune modulation. We also examine the spectrum of regenerative outcomes, including preclinical and clinical outcomes. We further distinguish the analgesic mechanisms of regenerative therapies from those of cellular replacement, creating a conceptual and mechanistic framework to evaluate future research on regenerative medicine.

Lipid rafts are small, dynamic membrane areas characterized by the clustering of selected membrane lipids as the result of the spontaneous separation of glycolipids, sphingolipids, and cholesterol in a liquid-ordered phase. The exact dynamics underlying phase separation of membrane lipids in the complex biological membranes are still not fully understood. Nevertheless, alterations in the membrane lipid composition affect the lateral organization of molecules belonging to lipid rafts. Neural lipid rafts are found in brain cells, including neurons, astrocytes, and microglia, and are characterized by a high enrichment of specific lipids depending on the cell type. These lipid rafts seem to organize and determine the function of multiprotein complexes involved in several aspects of signal transduction, thus regulating the homeostasis of the brain. The progressive decline of brain performance along with physiological aging is at least in part associated with alterations in the composition and structure of neural lipid rafts. In addition, neurodegenerative conditions, such as lysosomal storage disorders, multiple sclerosis, and Parkinson’s, Huntington’s, and Alzheimer’s diseases, are frequently characterized by dysregulated lipid metabolism, which in turn affects the structure of lipid rafts. Several events underlying the pathogenesis of these diseases appear to depend on the altered composition of lipid rafts. Thus, the structure and function of lipid rafts play a central role in the pathogenesis of many common neurodegenerative diseases.

Rationale: To conduct a retrospective study comparing three ¹²³I-FP-CIT-SPECT quantitative methods in patients with neurodegenerative syndromes as referenced to neuropathological findings. Methods: ¹²³I-FP-CIT-SPECT and neuropathological findings among patients with neurodegenerative syndromes from the Mayo Alzheimer's Disease Research Center and Mayo Clinic Study of Aging were examined. Three ¹²³I-FP-CIT-SPECT quantitative assessment Methods: MIMneuro (MIM Software Inc.), DaTQUANT (GE Healthcare), and manual region of interest (ROI) creation on an Advantage Workstation (GE Healthcare) were compared to neuropathological findings describing the presence or absence of Lewy body disease (LBD). Striatum to background ratios (SBRs) generated by DaTQUANT were compared to the calculated SBRs of the manual method and MIMneuro. The left and right SBRs for caudate, putamen and striatum were evaluated with the manual method. For DaTQUANT and MIMneuro the left, right, total and average SBRs and z-scores for whole striatum, caudate, putamen, anterior putamen, and posterior putamen were calculated. Results: The cohort included 24 patients [20 (83%) male, aged 75.4 +/- 10.0 at death]. The antemortem clinical diagnoses were Alzheimer’s disease dementia (ADem, N = 6), probable dementia with Lewy bodies (pDLB, N = 12), mixed ADem/pDLB (N = 1), Parkinson’s disease with mild cognitive impairment (N = 2), corticobasal syndrome (N = 1), idiopathic rapid eye movement sleep behavior disorder (iRBD) (N = 1) and behavioral variant frontotemporal dementia (N = 1). Seventeen (71%) had LBD pathology. All three ¹²³I-FP-CIT-SPECT quantitative methods had area under the receiver operating characteristics (AUROC) values above 0.93 and up to 1.000 (p<0.001) and showed excellent discrimination between LBD and non-LBD patients in each region assessed, p<.001. There was no significant difference between the accuracy of the regions in discriminating the two groups, with good discrimination for both caudate and putamen. Conclusion: All three ¹²³I-FP-CIT-SPECT quantitative methods showed excellent discrimination between LBD and non-LBD patients in each region assessed, using both SBRs and z-scores.

Lipid rafts are small, dynamic membrane areas characterized by the clustering of selected membrane lipids as the result of the spontaneous separation of glycolipids, sphingolipids, and cholesterol in a liquid-ordered phase. The exact dynamics underlying phase separation of membrane lipids in the complex biological membranes are still not fully understood. Nevertheless, alterations in the membrane lipid composition affect the lateral organization of molecules belonging to lipid rafts. Neural lipid rafts are found in brain cells, including neurons, astrocytes, and microglia, and are characterized by a high enrichment of specific lipids depending on the cell type. These lipid rafts seem to organize and determine the function of multiprotein complexes involved in several aspects of signal transduction, thus regulating the homeostasis of the brain. The progressive decline of brain performance along with physiological aging is at least in part associated with alterations in the composition and structure of neural lipid rafts. In addition, neurodegenerative conditions, such as lysosomal storage disorders, multiple sclerosis, and Parkinson’s, Huntington’s, and Alzheimer’s diseases, are frequently characterized by dysregulated lipid metabolism, which in turn affects the structure of lipid rafts. Several events underlying the pathogenesis of these diseases appear to depend on the altered composition of lipid rafts. Thus, the structure and function of lipid rafts play a central role in the pathogenesis of many common neurodegenerative diseases.

The ability of intelligent agents to learn and remember multiple tasks sequentially is crucial to achieving artificial general intelligence. Many continual learning (CL) methods have been proposed to overcome catastrophic forgetting. Catastrophic forgetting notoriously impedes the sequential learning of neural networks as the data of previous tasks are unavailable. In this paper we focus on class incremental learning, a challenging CL scenario, in which classes of each task are disjoint and task identity is unknown during test. For this scenario, generative replay is an effective strategy which generates and replays pseudo data for previous tasks to alleviate catastrophic forgetting. However, it is not trivial to learn a generative model continually for relatively complex data. Based on recently proposed orthogonal weight modification (OWM) algorithm which can keep previously learned input-output mappings invariant approximately when learning new tasks, we propose to directly generate and replay feature. Empirical results on image and text datasets show our method can improve OWM consistently by a significant margin while conventional generative replay always results in a negative effect. Our method also beats a state-of-the-art generative replay method and is competitive with a strong baseline based on real data storage.

Lipid rafts are small, dynamic membrane areas characterized by the clustering of selected membrane lipids as the result of the spontaneous separation of glycolipids, sphingolipids, and cholesterol in a liquid-ordered phase. The exact dynamics underlying phase separation of membrane lipids in the complex biological membranes are still not fully understood. Nevertheless, alterations in the membrane lipid composition affect the lateral organization of molecules belonging to lipid rafts. Neural lipid rafts are found in brain cells, including neurons, astrocytes, and microglia, and are characterized by a high enrichment of specific lipids depending on the cell type. These lipid rafts seem to organize and determine the function of multiprotein complexes involved in several aspects of signal transduction, thus regulating the homeostasis of the brain. The progressive decline of brain performance along with physiological aging is at least in part associated with alterations in the composition and structure of neural lipid rafts. In addition, neurodegenerative conditions, such as lysosomal storage disorders, multiple sclerosis, and Parkinson’s, Huntington’s, and Alzheimer’s diseases, are frequently characterized by dysregulated lipid metabolism, which in turn affects the structure of lipid rafts. Several events underlying the pathogenesis of these diseases appear to depend on the altered composition of lipid rafts. Thus, the structure and function of lipid rafts play a central role in the pathogenesis of many common neurodegenerative diseases.

Annelies Wouters, Jan-Pieter Ploem, Sabine A. S. Langie, Tom Artois, Aziz Aboobaker, and Karen Smeets

Pluripotent stem cells hold great potential for regenerative medicine. Increased replication and division, such is the case during regeneration, concomitantly increases the risk of adverse outcomes through the acquisition of mutations. Seeking for driving mechanisms of such outcomes, we challenged a pluripotent stem cell system during the tightly controlled regeneration process in the planarian Schmidtea mediterranea. Exposure to the genotoxic compound methyl methanesulfonate (MMS) revealed that despite a similar DNA-damaging effect along the anteroposterior axis of intact animals, responses differed between anterior and posterior fragments after amputation. Stem cell proliferation and differentiation proceeded successfully in the amputated heads, leading to regeneration of missing tissues. Stem cells in the amputated tails showed decreased proliferation and differentiation capacity. As a result, tails could not regenerate. Interference with the body-axis-associated component β-catenin-1 increased regenerative success in tail fragments by stimulating proliferation at an early time point. Our results suggest that differences in the Wnt signalling gradient along the body axis modulate stem cell responses to MMS.

With a generous support from the Guangzhou City Government and the Guangdong Provincial Government, Guangzhou Regenerative Medicine and Health-Guangdong Laboratory (GRMH-GDL) was launched in 2017. GRMH-GDL aims to bring together multiple leading scientific research units from Guangdong, Hong Kong, Macao and well-known international research institutes to achieve the vital goal of "Healthy China" and to cooperatively tackle the scientific and technical problems and challenges. GRMH-GDL is focused…

It's not enough to not make things worse. Our buildings and our actions have to make things better.

EU-funded researchers have developed innovative genetic reprogramming techniques to replace and repair brain cells, opening up novel therapeutic pathways to combat debilitating disorders such as Parkinson's and Huntington's disease.

The U.S. government strictly regulates the therapeutic use of human cell and tissue products. However, a specific exception allows surgeons to harvest,

Age-related macular degeneration and diabetic retinopathy could be treated by targeting a vital step in the process that leads to leaky vessels and harmful

AI analysis of blood samples could help forecast and explain disease progression of neurodegenerative disorders. Evaluating the effectiveness of therapies

Dementia is increasing in prevalence, and to date has no cure or treatment. One element in improving this situation is using and sharing data more widely to increase the power of research. Further, moving beyond established medical data into big data offers the potential to tap into routinely collected data from both within and outside the health system.